Zotero Library Updates: 30 May 2024
- Neurobiological mechanisms for language, symbols and concepts: Clues from brain-constrained deep neural networks
- What Would It Mean for a Machine to Have a Self?
- Artifacts and levels of abstraction
- Reafference and the origin of the self in early nervous system evolutio
- Relational inductive biases, deep learning, and graph networks
- The best game in town: The reemergence of the language-of-thought hypothesis across the cognitive sciences
- Symbols and mental programs: a hypothesis about human singularity
- Cognition from the Body-Brain Partnership: Exaptation of Memory
- Deep Predictive Learning in Neocortex and Pulvinar
- The Structure of Systematicity in the Brain - Randall C. O’Reilly, Charan Ranganath, Jacob L. Russin, 2022
- From Bioinspired to Bioinformed: Benefits of Greater Engagement From Biologists
- Cognition from the Body-Brain Partnership: Exaptation of Memory
- Neurobiological foundations of neurologic music therapy: rhythmic entrainment and the motor system
- Charging Ahead: Examining the Future Therapeutic Potential of Electroceuticals
- Reverse-engineering the self
- Ruliology: Linking Computation, Observers and Physical Law
- Twenty Years after Folk Physics for Apes: Researchers' Understanding of How Nonhumans Understand the World
- Fall 2023 GRASP on Robotics: Al Rizzi, Boston Dynamics AI
- From reinforcement learning to agency: Frameworks for understanding basal cognition
- The collective intelligence of evolution and development
- Using enactive robotics to think outside of the problem-solving box: How sensorimotor contingencies constrain the forms of emergent autononomous habits
- Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
- Observer Theory
- Symbols and mental programs: a hypothesis about human singularity
- Self-supervised robot self-modeling using a single egocentric camera
- Teaching Robots to Build Simulations of Themselves
- Fully body visual self-modeling of robot morphologies
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- Haptic realism for neuroscience
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- The energetics of cellular life transitions
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- Editorial: Bio A.I. - from embodied cognition to enactive robotics
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- Designing Ecosystems of Intelligence from First Principles
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- Haptic realism for neuroscience
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- A GPU-based computational framework that bridges neuron simulation and artificial intelligence
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- The Brain in Motion: From Microcircuits to Global Brain Function
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- The Metaphysics of Development and Evolution. From Thing Ontology to Process Ontology
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- Generalizing frameworks for sentience beyond natural species
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- Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly
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- To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review
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- VICRegL: Self-Supervised Learning of Local Visual Features
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- GAIA: a benchmark for General AI Assistants
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- Mortal Computation: A Foundation for Biomimetic Intelligence
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- The Multiple Realizability of Sentience in Living Systems and Beyond
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- Animal-AI
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- A newborn embodied Turing test for view-invariant object recognition
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- Catalyzing next-generation Artificial Intelligence through NeuroAI
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- The Defeat of the Winograd Schema Challenge
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- Language, common sense, and the Winograd schema challenge
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- URLOST: Unsupervised Representation Learning without Stationarity or Topology
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- Nicolas Rouleau | Wilfrid Laurier University
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- Multiple ways to implement and infer sentience
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- Future medicine: from molecular pathways to the collective intelligence of the body
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- Evolution "On Purpose": Teleonomy in Living Systems
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- Neural representation in active inference: using generative models to interact with -- and understand -- the lived world
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- Modal and amodal cognition: an overarching principle in various domains of psychology
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- The free energy principle—a precis
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- What Behavioral Abilities Emerged at Key Milestones in Human Brain Evolution? 13 Hypotheses on the 600-Million-Year Phylogenetic History of Human Intelligence
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- Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc
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- Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
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- I-JEPA: The first AI model based on Yann LeCun’s vision for more human-like AI
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- Generating Meaning: Active Inference and the Scope and Limits of Passive AI
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- The first prior: From co-embodiment to co-homeostasis in early life
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- Bioelectric networks: the cognitive glue enabling evolutionary scaling from physiology to mind
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- Design for an Individual: Connectionist Approaches to the Evolutionary Transitions in Individuality
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- Synthetic morphology with agential materials
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- Learning in Transcriptional Network Models: Computational Discovery of Pathway-Level Memory and Effective Interventions
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- Acting Out Dreams Predicts Parkinson’s and Other Brain Diseases
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- Brain rhythms and neural syntax: implications for efficient coding of cognitive content and neuropsychiatric disease.
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- Memory Consolidation: Time Machine of the Brain
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- Structuring time: The hippocampus constructs sequence memories that generalize temporal relations across experiences
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- Publications
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- #FallPrevention - Twitter Search / Twitter
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- Best Elderly Fall Prevention Devices
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- TechSilver Fall Prevention in the Elderly – The Ultimate Guide [2021]
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- Fall Preventers Detect Motion Sensor
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- Falls: applying All Our Health
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- Falls in older people 2022 update
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- 3% of healthcare expenditure spent on preventive care
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- How To Make Disease Prevention An Easier Sell
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- Space and Time: The Hippocampus as a Sequence Generator
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- Memory, navigation and theta rhythm in the hippocampal-entorhinal system
- How the Brain ‘Constructs’ the Outside World
- DI_The-future-of-aging.pdf
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- 7 new tech devices for elder care that help seniors live happier, healthier lives
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- Many Paths to Anticipatory Behavior: Anticipatory Model Acquisition Across Phylogenetic and Ontogenetic Timescales
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- There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-scale Machines
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- Designing Ecosystems of Intelligence from First Principles
- Transplantation of fragments from different planaria: a bioelectrical model for head regeneration
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- Closing the Loop on Morphogenesis: A Mathematical Model of Morphogenesis by Closed-Loop Reaction-Diffusion
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- Developmental Bioelectricity - By Prof. Michael Levin
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- Competency of the Developmental Layer Alters Evolutionary Dynamics in an Artificial Embryogeny Model of Morphogenesis
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- The Free Energy Principle drives neuromorphic development
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- A New Spin on Neural Processing: Quantum Cognition
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- Are we quantum computers, or merely clever robots?
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- Quantum Cognition: The possibility of processing with nuclear spins in the brain
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- Endless forms most beautiful 2.0: teleonomy and the bioengineering of chimaeric and synthetic organisms
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- Adversarial Takeover of Neural Cellular Automata
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- Bioelectric Fields at the Beginnings of Life
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- Symmetry at the Foundation of Science and Nature
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- How evolution ‘hacked’ its way to intelligence from the bottom up | Aeon Essays
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- Matthen_Paper.pdf
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- Embodied cognition and circular causality: on the role of constitutive autonomy in the reciprocal coupling of perception and action
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- Active materials: minimal models of cognition?
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- The Cognitive Lens: a primer on conceptual tools for analysing information processing in developmental and regenerative morphogenesis
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- A cognitive view of biological process
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- Embracing complexity: Organicism for the 21st century
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- The brain-machine disanalogy
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- The evolutionary origins of modularity
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- What is code biology?
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- Insect-machine hybrid robot
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- Living Things Are Not (20th Century) Machines: Updating Mechanism Metaphors in Light of the Modern Science of Machine Behavior
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- Living Things Are Not (20th Century) Machines: Updating Mechanism Metaphors in Light of the Modern Science of Machine Behavior
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- Connected Papers | Find and explore academic papers
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- Evolutionary transitions in learning and cognition
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- Reafference and the origin of the self in early nervous system evolution
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- Elementary nervous systems
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- Uncovering cognitive similarities and differences, conservation and innovation
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- Evolutionary transitions in learning and cognition
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- Universality in intermediary metabolism
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- Mindscape 198 | Nick Lane on Powering Biology
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- Intro to Brain-Like-AGI Safety - AI Alignment Forum
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- Grounding an Ecological Theory of Artificial Intelligence in Human Evolution
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- Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
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- A hypothesis for the evolution of the upper layers of the neocortex through co-option of the olfactory cortex developmental program
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- Daniel Wolpert: Γιατί υπάρχει ο εγκέφαλος; - YouTube
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- Multiple motor memories are learned to control different points on a tool
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- A Perspective on Cortical Layering and Layer-Spanning Neuronal Elements
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- Evolution of the human brain: when bigger is better
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- The origin of allometric scaling laws in biology from genomes to ecosystems: towards a quantitative unifying theory of biological structure and organization
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- A quantitative, theoretical framework for understanding mammalian sleep
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- Toward a Systems Biology Framework for Understanding Aging and Health Span
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- The challenges and scope of theoretical biology
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- The importance of quantitative systemic thinking in medicine
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- Brain metabolism in health, aging, and neurodegeneration
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- I/O DIVERSITY – Raise or Fold
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- Episode 1: Research Update with Jeff Hawkins - Part 1
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- Jeffery_Accepted version for OA repository.pdf
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- Space in the brain: how the hippocampal formation supports spatial cognition
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- Computational diversity and the mesoscale organization of the neocortex | The Center for Brains, Minds & Machines
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- I/O-Diversity – Intelligent Heterodoxy
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- Neuromorphic Architecture for the Hierarchical Temporal Memory
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- newsletter_2018_q3.pdf
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- Michael Fossel
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- Unsupervised Predictive Memory in a Goal-Directed Agent
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- Navigating Cognition: Spatial Codes for Human Thinking
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- Navigating cognition: Spatial codes for human thinking
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- Spaces in the Brain: From Neurons to Meanings
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- Building Machines that Learn and Think for Themselves: Commentary on Lake et al., Behavioral and Brain Sciences, 2017
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- Human Movement Science | ScienceDirect.com
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- The relationship between matter and life
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- The Evolution of Cognition: a 4E Perspective
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- Behavioural science can help tackle the UK’s litter epidemic
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- The Brain Maps Out Ideas and Memories Like Spaces
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- Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease | Journal of Neuroscience
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- Locations in the Neocortex: A Theory of Sensorimotor Object Recognition Using Cortical Grid Cells
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- Space and Memory (Far) Beyond the Hippocampus: Many Subcortical Structures Also Support Cognitive Mapping and Mnemonic Processing
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- (91) Stanford Seminar - Computing with High-Dimensional Vectors - YouTube
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- Resynthesizing behavior through phylogenetic refinement
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- UK vs US Tech: Can the Tortoise Ever Catch the Hare? | Philip Lay
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- HTM Forum
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- Representational specializations of the hippocampus in phylogenetic perspective | Elsevier Enhanced Reader
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- From Our Ancestors to Ourselves—Memory, Evolution and Adaptation
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- Opinion: Life’s X Factor
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- A Deep Dive into the Functionality of Artificial Vs. Biological Neural Networks
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- Resveratrol and SIRT1 Activators for the Treatment of Aging and Age-Related Diseases
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- All About SIRT1: Activators, Inhibitors, Genes
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- SelfDecode | Genome Analysis
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- Dr. Doug McGuff | Ultimate Exercise | Body by Science | Emergency Physician | Fitness Expert
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- David Sinclair | The Sinclair Lab | Harvard Medical School, Department of Genetics
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- David Sinclair, PhD AO (@davidasinclair) / Twitter
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- David Sinclair: "Lifespan: Why We Age and Why We Don't Have To" | Talks at Google
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- Prof. Nick Lane
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- Mark Changizi Home Page
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- Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall
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- Cortical Correlates of Low-Level Perception: From Neural Circuits to Percepts
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- Neuromorphic Audio-Visual Sensor Fusion on a Sound-Localising Robot
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- Making BREAD: Biomimetic Strategies for Artificial Intelligence Now and in the Future
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- Fractality of sensations and the brain health: the theory linking neurodegenerative disorder with distortion of spatial and temporal scale-invariance and fractal complexity of the visible world
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- Shining light on the head: Photobiomodulation for brain disorders
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- Treatment of Neurodegeneration: Integrating Photobiomodulation and Neurofeedback in Alzheimer's Dementia and Parkinson's: A Review
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- In The News
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- Neuro RX Gamma - Pivotal Phase - Tabular View - ClinicalTrials.gov
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- Videos and Podcasts
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- Pulsed Near Infrared Transcranial and Intranasal Photobiomodulation Significantly Modulates Neural Oscillations: a pilot exploratory study
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- Photobiomodulation for Alzheimer’s Disease: Has the Light Dawned?
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- Role of physical and mental training in brain network configuration
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- Phylogenetic origins of biological cognition: convergent patterns in the early evolution of learning
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- Phylogenetic origins of biological cognition: convergent patterns in the early evolution of learning
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- From Sensations to Concepts: a Proposal for Two Learning Processes
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- Coupling the State and Contents of Consciousness
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- Is coding a relevant metaphor for the brain?
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- Navigating the Affordance Landscape: Feedback Control as a Process Model of Behavior and Cognition
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- Neural Mechanisms for Interacting with a World Full of Action Choices
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- Brain Evolution: Intelligence without a Cortex
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- Primates vs birds: Is one brain architecture better than the other?
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- Investigation into the relationship between neuron count and intelligence across differing cortical architectures
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- Diagnostics Accelerator: Digital Biomarkers
Of what is “minimal cognition” the half-baked version?
568a46c608ae1e63f1fbb659.pdf
Automated assessment of psychiatric disorders using speech: A systematic review
Representation Learning with Contrastive Predictive Coding
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall
Surfboard: Audio Feature Extraction for Modern Machine Learning
Resolving Discontinuity: A Minimalist Distinction between Human and Non-human Minds
Flexible coding of object motion in multiple reference frames by parietal cortex neurons
Microbes and Alzheimer’s Disease
The N-space Episenome unifies cellular information space-time within cognition-based evolution
Consciousness, Redux
The 21st Century Singularity and Global Futures: A Big History Perspective
An Attempt at a Unified Theory of the Neocortical Microcircuit in Sensory Cortex
The natural history of sound localization in mammals – a story of neuronal inhibition
Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors
Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception
In-memory hyperdimensional computing
Fulfilling Brain-inspired Hyperdimensional Computing with In-memory Computing
Biologically-Inspired Deep Learning Predicts Chords of Bach
Mixed-Precision Deep Learning Based on Computational Memory
Resynthesizing behavior through phylogenetic refinement
The Learning Salon
Dr. Paul Cisek | NeuroSymposium 2020
AI Frontiers Meetup - Zoom
Neuroscience-Inspired Artificial Intelligence
Memory Takes Time
Conversations by topic: MIND | Edge.org
Perception As Controlled Hallucination | Edge.org
The evolution of associative learning: A factor in the Cambrian explosion
Jeff Hawkins Reviews "Grid Cell Firing Fields in a Volumetric Space" Paper - December 9, 2020
What is the biological basis of sensorimotor integration?
Internal Models in Biological Control
Patterns that persist: Heritable information in stochastic dynamics
New Biological Morphogenetic Methods for Evolutionary Design of Robot Bodies
AI Knowledge Map: how to classify AI technologies
Extended active inference: Constructing predictive cognition beyond skulls
Beyond Desire? Agency, Choice, and the Predictive Mind
Rational arbitration between statistics and rules in human sequence learning
Evaluating the neurophysiological evidence for predictive processing as a model of perception
Which Structures Are Out There
Event-Predictive Cognition: A Root for Conceptual Human Thought
Hierarchical principles of embodied reinforcement learning: A review
A Survey of Artificial General Intelligence Projects for Ethics, Risk, and Policy
Non-human consciousness and the specificity problem: A modest theoretical proposal
Transformation of a Spatial Map across the Hippocampal-Lateral Septal Circuit
Viewpoints: how the hippocampus contributes to memory, navigation and cognition
Abstract concept learning in a simple neural network inspired by the insect brain
A framework for the study of behavior
Animal Dynamics
Evolution of the Human Nervous System Function, Structure, and Development
Spatial representation in the hippocampal formation: a history
How to Grow the Innate Machinery for AGI
Innateness, AlphaZero, and Artificial Intelligence
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
The Spatial Memory Pipeline: a model of egocentric to allocentric understanding in mammalian brains
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
Architects of Intelligence
Uncovering cognitive similarities and differences, conservation and innovation
My computational framework for the brain - LessWrong
Towards solving the hard problem of consciousness: The varieties of brain resonances and the conscious experiences that they support | Elsevier Enhanced Reader
Videos & Press
Improved HTM Spatial Pooler with Homeostatic Plasticity Control:
From Structure to Activity: Using Centrality Measures to Predict Neuronal Activity
Visual cortex recruitment during language processing in blind individuals is explained by Hebbian learning
A Neurobiologically Constrained Cortex Model of Semantic Grounding With Spiking Neurons and Brain-Like Connectivity
Innovation Inspired by Nature — AskNature
The Self-Assembling Brain: How Neural Networks Grow Smarter : Hiesinger, Peter Robin: Amazon.co.uk: Books
How Do Neural Networks Grow Smarter? - with Robin Hiesinger
The Hiesinger Neurogenetics Laboratory
The Parallel HTM Spatial Pooler with Actor Model
A thousand brains: toward biologically constrained AI
Gestalt Perception of Biological Motion: A Generative Artificial Neural Network Model
Toward an Integration of Deep Learning and Neuroscience
Inner speech: Development, cognitive functions, phenomenology, and neurobiology.
Knowledge Across Reference Frames: Cognitive Maps and Image Spaces
Strong and weak principles of neural dimension reduction
Neuroscience needs evolution
Discussion on Knowledge Transfer Among Cortical Columns - September 29, 2021
2022-Natural Computation of Cognition, from single cells up.pdf
From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence
Decoding Word Embeddings with Brain-Based Semantic Features
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge
Vector-Space Models of Semantic Representation From a Cognitive Perspective: A Discussion of Common Misconceptions
Grid Cell Path Integration For Movement-Based Visual Object Recognition
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part I: Models and Data Transformations
The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding
The Learning Salon - György Buzsáki
Visual Foundations of Euclidean Geometry
Neurophysiology of Remembering
Frontiers in Collective Intelligence: A Workshop Report
Objects, seeing, and object-seeing
Mohan Matthen (University of Toronto, Mississauga): Publications - PhilPeople
Sorting the Senses
The where of bodily awareness
Spatial Content and Motoric Significance
Spatial representations in sensory modalities
Prerequisites for an Artificial Self
Editorial: Body Representations, Peripersonal Space, and the Self: Humans, Animals, Robots
Learning and Acting in Peripersonal Space: Moving, Reaching, and Grasping
How Cognitive Models of Human Body Experience Might Push Robotics
Brain-Inspired Coding of Robot Body Schema Through Visuo-Motor Integration of Touched Events
Computational Foundations of Natural Intelligence
Relating transformers to models and neural representations of the hippocampal formation
Numenta.com • Biological and Machine Intelligence (BAMI)
Pentti Kanerva: The Brain's Circuits Suggest Computing with High-Dimensional Vectors
A Radically New Theory of how the Brain Represents and Computes with Probabilities
kanerva09-hyperdimensional.pdf
2017-kanerva.pdf
Selected publications of Stanislas Dehaene
Plastic machines: behavioural diversity and the Turing test
Professor Michael Wheeler
Outputs – Professor Michael Wheeler
Pentti Kanerva
Dehaene_Reading_inthebrainrevisitedandextendedMindLanguage2014.pdf
You Know About “Bio-Inspired Tech,” But You May Not Have Heard About “Tech-Inspired Biology”
Amazon.co.uk Help: Kindle Personal Documents Service
Parkinson_2015_TICS.pdf
BS 139 Jeff Hawkins from Numenta
Criticality in Formal Languages and Statistical Physics
BAMI-Complete.pdf
What's in Brian's Brain?
S005_Flashback_086-087.pdf
2ai lab notes
The Cortical Column
Dharmendra S. Modha - My Work and Thoughts.
AGA_2017_Yamakawa_et_al.pdf
The Functioning of a Cortex without Layers
Hotspots of dendritic spine turnover facilitate clustered spine addition and learning and memory
Dominic Widdows - Geometry and Meaning - Companion website
HTM Forum
HTM Forum
Computers learn to learn - News
The Thousand Brains Model of Intelligence
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers
Researchers find algorithm for large-scale brain simulations
The organization of intracortical connections by layer and cell class in the mouse brain
What is consciousness, and could machines have it?
The Kanerva Machine: A Generative Distributed Memory
How neurons make meaning: brain mechanisms for embodied and abstract-symbolic semantics
Motor cognition–motor semantics: Action perception theory of cognition and communication
Symbolic semantics might be an accessory rather than a necessity
A brief history of the brain
The Evolution of the Brain, the Human Nature of Cortical Circuits, and Intellectual Creativity
Introduction
The Microcircuit Concept Applied to Cortical Evolution: from Three-Layer to Six-Layer Cortex
Computational Concepts for Reconstructing and Simulating Brain Tissue
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