A biological ‘brain-box’ made of 200,000 real human neurons exists right now.
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Can 200k Human Neurons run Doom? [Request]
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Mechanism, dynamics, and biological existence of multistability in a large class of bursti…
Multistability, the coexistence of multiple attractors in a dynamical system, is explored in bursting nerve cells. A modeling study is performed to show that a large class of bursting systems, as defined by a shared topology when represented as dynam...
The concept of mirror neurons are well-known -- roughly speaking, if you see someone in pa…
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Neuron-Level Knowledge Attribution in Large Language Models
Identifying important neurons for final predictions is essential for understanding the mechanisms of large language models. Due to computational constraints, current attribution techniques struggle to operate at neuron level. In this paper, we propos...
Sensitivity and specificity of a Bayesian single trial analysis for time varying neural si…
We recently reported the existence of fluctuations in neural signals that may permit neurons to code multiple simultaneous stimuli sequentially across time. This required deploying a novel statistical approach to permit investigation of neural activi...
This is how neurons in your brain form new connections.
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3.4 The Brain and Spinal Cord - Psychology 2e | OpenStax
The brain is a remarkably complex organ comprised of billions of interconnected neurons and glia. It is a bilateral, or two-sided, structure that can be separated into distinct lobes. Each lobe is associated …
Activate or Not: Learning Customized Activation
We present a simple, effective, and general activation function we term ACON which learns to activate the neurons or not. Interestingly, we find Swish, the recent popular NAS-searched activation, can be interpreted as a smooth approximation to ReLU....
3.4 The Brain and Spinal Cord - Psychology 2e | OpenStax
The brain is a remarkably complex organ comprised of billions of interconnected neurons and glia. It is a bilateral, or two-sided, structure that can be separated into distinct lobes. Each lobe is associated …
An Algorithm Based on a Cable-Nernst Planck Model Predicting Synaptic Activity throughout…
Recent technological advances have enabled the recording of neurons in intact circuits with a high spatial and temporal resolution, creating the need for modeling with the same precision. In particular, the development of ultra-fast two-photon micros...
The growing topology of the C. elegans connectome
Probing the developing neural circuitry in Caenorhabditis elegans has enhanced our understanding of nervous systems. The C. elegans connectome, like those of other species, is characterized by a rich club of densely connected neurons embedded within...
djsaunde/lm-snn
Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits. (⭐ 171)
Technological integration and hyper-connectivity: Tools for promoting extreme human lifesp…
Artificial, neurobiological, and social networks are three distinct complex adaptive systems (CAS), each containing discrete processing units (nodes, neurons, and humans respectively). Despite the apparent differences, these three networks are bound...
Scientists find that Herpes simplex virus type 1 (HSV-1) can trigger buildup that resemble…
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Spontaneous Motion on Two-dimensional Continuous Attractors
Attractor models are simplified models used to describe the dynamics of firing rate profiles of a pool of neurons. The firing rate profile, or the neuronal activity, is thought to carry information. Continuous attractor neural networks (CANNs) descri...
Bristle sensilla - Wikipedia
system. Bristles are directionally selective to mechanical deflection. Fly bristles are typically angled 45° relative to the cuticle, and most bristle neurons
Parasympathetic Nervous System – Introduction to Neuroscience
The postganglionic neurons are found in clusters called intramural (“inside the wall [of the organ]”) ganglia. This allows the parasympathetic nervous system to control its targets organ-by-organ rather …
Parasympathetic Nervous System – Introduction to Neuroscience
The postganglionic neurons are found in clusters called intramural (“inside the wall [of the organ]”) ganglia. This allows the parasympathetic nervous system to control its targets organ-by-organ rather …
What Is a Neuron and How Do They Work? - Biology Insights
Jul 29, 2025 · A neuron, also known as a nerve cell, is an electrically excitable cell that processes and transmits information through electrical and chemical signals. Neurons are the primary components …
Motor neuron diseases - Wikipedia
Motor neuron diseases or motor neurone diseases (MNDs) are a group of rare neurodegenerative disorders that selectively affect motor neurons, the cells
Neurons about to activate . . .
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How Do Neurons Work and Change Over Time? | Caltech Science …
A neuron has three parts: the cell body, dendrites, and the axon (Figure 1). The cell body contains the small functional structures called organelles, which are necessary for the cell to survive.
Slow dynamics of neuronal excitability under pulse stimulation
Neurons fire irregularly on multiple timescales when stimulated with a periodic pulse train. This raises two questions: Does this irregularity imply significant intrinsic stochasticity? Can existing neuron models be readily extended to describe behav...
A Macrocolumn Architecture Implemented with Spiking Neurons
The macrocolumn is a key component of a neuromorphic computing system that interacts with an external environment under control of an agent. Environments are learned and stored in the macrocolumn as labeled directed graphs where edges connect feature...
An Easy Guide to Neuron Anatomy with Diagrams
May 12, 2025 · A neuron is a nerve cell that processes and transmits information through electrical and chemical signals in the nervous system. Neurons consist of a cell body, dendrites (which receive …
Neurons about to activate
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Neuron (software) - Wikipedia
Neuron is a simulation environment for modeling individual and networks of neurons. It was primarily developed by Michael Hines, John W. Moore, and Ted
Neuron - Wikipedia
Neurons are the main components of nervous tissue in all animals except sponges and placozoans. Plants and fungi do not have nerve cells. Molecular evidence suggests that the ability to generate …
A quantitative model for presynaptic free calcium dynamics during different stimulation pr…
The presynaptic free calcium dynamics of neurons due to various stimulation protocols is investigated in a mathematical model. The model includes calcium influx through voltage-dependent calcium channels, calcium buffering by endogenous and exogeno...
Spontaneous excitability in the Morris--Lecar model with ion channel noise
Noise induced excitability is studied in type I and II Morris-Lecar neurons subject to constant sub threshold input, where fluctuations arise from sodium and potassium ion channels. Ion channels open and close randomly, creating current fluctuations...
Scientists have found a way to compute neural networks, using mathematical models to analy…
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Complex transitions between spiking, bursting and silent regimes in a new memristive Rulko…
The Rulkov model, which simulates the behavior of biological neurons, is modified by replacing one of its control parameters with a memristive, sigmoid-type function of finite memory. This modification causes the parameter to vary according to the sy...
PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs
FPGAs have distinct advantages as a technology for deploying deep neural networks (DNNs) at the edge. Lookup Table (LUT) based networks, where neurons are directly modeled using LUTs, help maximize this promise of offering ultra-low latency and high...
From My Own Archives: I did a Tantra workshop for Spuiten & Slikken, wow! (7m:40s) | D…
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Neuronal Response Clamp
Since the first recordings made of evoked action potentials it has become apparent that the responses of individual neurons to ongoing physiologically relevant input, are highly variable. This variability is manifested in non-stationary behavior of p...
Spiking input-output relation for general biophysical neuron models
Cortical neurons include many sub-cellular processes, operating at multiple timescales, which may affect their response to stimulation through non-linear and stochastic interaction with ion channels and ionic concentrations. Since new processes are c...
Neurodegenerative disease - Wikipedia
progressive loss of neurons, in the process known as neurodegeneration. Neuronal damage may also ultimately result in their death. Neurodegenerative diseases
Explicit mutual information for simple networks and neurons with lognormal activities
Networks with stochastic variables described by heavy tailed lognormal distribution are ubiquitous in nature, and hence they deserve an exact information-theoretic characterization. We derive analytical formulas for mutual information between element...
Cognitive Architecture for Direction of Attention Founded on Subliminal Memory Searches, P…
By way of explaining how a brain works logically, human associative memory is modeled with logical and memory neurons, corresponding to standard digital circuits. The resulting cognitive architecture incorporates basic psychological elements such a...