Long-term potentiation - Wikipedia
a long-lasting increase in signal transmission between two neurons. The opposite of LTP is long-term depression, which produces a long-lasting decrease
Your GPU Advantage Expires in 36 Months - InfoFina.com
# Why Photonic Computing Enables New AI Architectures Current artificial neural networks use drastically simplified neuron models because von Neumann architecture constraints and early computing limi...
Memory via Temporal Delays in weightless Spiking Neural Network
A common view in the neuroscience community is that memory is encoded in the connection strength between neurons. This perception led artificial neural network models to focus on connection weights as the key variables to modulate learning. In this p...
Can a Compact Neuronal Circuit Policy be Re-purposed to Learn Simple Robotic Control?
We propose a neural information processing system which is obtained by re-purposing the function of a biological neural circuit model, to govern simulated and real-world control tasks. Inspired by the structure of the nervous system of the soil-worm,...
Claustrum - Wikipedia
The claustrum (Latin, meaning "to close" or "to shut") is a thin sheet of neurons and supporting glial cells in the brain that connects to the cerebral
Atomic Literary Styling: Mechanistic Manipulation of Prose Generation in Neural Language M…
We present a mechanistic analysis of literary style in GPT-2, identifying individual neurons that discriminate between exemplary prose and rigid AI-generated text. Using Herman Melville's Bartleby, the Scrivener as a corpus, we extract activation pat...
dilp90/InteligenciaArtificial_y_RedesNeuronales_UANL_FIME
Temas y ejercicios de la clase "Inteligencia Artificial y Redes Neuronales" de la FIME en la UANL (⭐ 107)
How to suppress undesired synchronization
It is delightful to observe the emergence of synchronization in the blinking of fireflies to attract partners and preys. Other charming examples of synchronization can also be found in a wide range of phenomena such as, e.g., neurons firing, lasers c...
Action potential - Wikipedia
inactivated because of preceding depolarization. On the other hand, all neuronal voltage-activated sodium channels inactivate within several milliseconds
High-resolution investigation of spinal cord and spine
High-resolution non-invasive 3D study of intact spine and spinal cord morphology on the level of complex vascular and neuronal organization is a crucial issue for the development of treatments for the injuries and pathologies of central nervous syste...
Basal ganglia - Wikipedia
basal ganglia (BG) or basal nuclei are a group of subcortical nuclei (cluster of neurons) found in the brains of vertebrates. Positioned at the base of
Quantum control in artificial neurons with superconductor-ionic memory inserted in the fee…
To improve artificial intelligence/autonomous systems and help with treating neurological conditions, there's a requirement for artificial neuron hardware that mimics biological. We examine experimental artificial neurons with quantum tunneling memor...
Impact of Network Heterogeneity on Neuronal Synchronization
Synchronization dynamics is a phenomenon of great interest in many fields of science. One of the most important fields is neuron dynamics, as synchronization in certain regions of the brain is related to some of the most common mental illnesses. To s...
Fourier analysis of a delayed Rulkov neuron network
We have analyzed the synchronization of a small-world network of chaotic Rulkov neurons with an electrical coupling that contains a delay. We have developed an algorithm to compute a certain delay whose result is to improve the synchronization of the...
mslehre/KI-Block
Blockkurs Künstliche Intelligenz, Neuronale Netze, Deep Learning (⭐ 8)
Truth Neurons
Despite their remarkable success and deployment across diverse workflows, language models sometimes produce untruthful responses. Our limited understanding of how truthfulness is mechanistically encoded within these models jeopardizes their reliabili...
Modeling the Nervous System as An Open Quantum System
We propose a neural network model of multi-neuron interacting system that simulates neurons to interact each other through the surroundings of neuronal cell bodies. We physically model the neuronal cell surroundings, include the dendrites, the axons...
Linear Acceleration Is a Primary Risk Factor for Concussion
Rotational acceleration of the head has long been posited as the primary cause of concussion due to its ability to generate shear strains that disrupt neuronal structure and function [1,2]. Linear acceleration, by contrast, is considered less injurio...
Identification of Knowledge Neurons in Protein Language Models
Neural language models have become powerful tools for learning complex representations of entities in natural language processing tasks. However, their interpretability remains a significant challenge, particularly in domains like computational biolo...
Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters
Large Language Models (LLMs) are computationally intensive, particularly during inference. Neuron-adaptive techniques, which selectively activate neurons in Multi-Layer Perceptron (MLP) layers, offer some speedups but suffer from limitations in moder...