AIMC Topic: Synapses

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Signatures of Bayesian inference emerge from energy-efficient synapses.

eLife Aug 6, 2024
Biological synaptic transmission is unreliable, and this unreliability likely degrades neural circuit performance. While there are biophysical mechanisms that can increase reliability, for instance by increasing vesicle release probability, these mec...
Synapses Synaptic Transmission Animals Models, Neurological Neural Networks, Computer Bayes Theorem Neurons Energy Metabolism
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Hydrogel-Based Artificial Synapses for Sustainable Neuromorphic Electronics.

Advanced materials (Deerfield Beach, Fla.) Aug 1, 2024
Hydrogels find widespread applications in biomedicine because of their outstanding biocompatibility, biodegradability, and tunable material properties. Hydrogels can be chemically functionalized or reinforced to respond to physical or chemical stimul...
Humans Neural Networks, Computer Animals Biocompatible Materials Synapses Transistors, Electronic Electronics Hydrogels Neurons
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Toward human-like adaptability in robotics through a retention-engineered synaptic control system.

Science advances Jun 26, 2024
Although advanced robots can adeptly mimic human movement and aesthetics, they are still unable to adapt or evolve in response to external experiences. To address this limitation, we propose an innovative approach that uses parallel-processable reten...
Robotics Biomimetics Synapses Humans
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Persistent spiking activity in neuromorphic circuits incorporating post-inhibitory rebound excitation.

Journal of neural engineering Jun 20, 2024
. This study introduces a novel approach for integrating the post-inhibitory rebound excitation (PIRE) phenomenon into a neuronal circuit. Excitatory and inhibitory synapses are designed to establish a connection between two hardware neurons, effecti...
Computer Simulation Models, Neurological Action Potentials Humans Neural Networks, Computer Nerve Net Neural Inhibition Neurons Synapses
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A neural network model for online one-shot storage of pattern sequences.

PloS one Jun 20, 2024
Based on the CRISP theory (Content Representation, Intrinsic Sequences, and Pattern completion), we present a computational model of the hippocampus that allows for online one-shot storage of pattern sequences without the need for a consolidation pro...
Synapses Learning Humans Hippocampus Neuronal Plasticity Neural Networks, Computer Models, Neurological
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Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip.

Nature communications May 25, 2024
By mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence. How to borrow high-level brain dynamic mechanisms t...
Neurons Synapses Software Algorithms Neural Networks, Computer Models, Neurological Action Potentials Brain Humans
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Hypergraph-Based Numerical Spiking Neural Membrane Systems with Novel Repartition Protocols.

International journal of neural systems May 8, 2024
The classic spiking neural P (SN P) systems abstract the real biological neural network into a simple structure based on graphs, where neurons can only communicate on the plane. This study proposes the hypergraph-based numerical spiking neural membra...
Synapses Animals Neuronal Plasticity Action Potentials Neurons Models, Neurological Humans Neural Networks, Computer Computer Simulation
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Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains.

PLoS computational biology Apr 29, 2024
Probing the architecture of neuronal circuits and the principles that underlie their functional organization remains an important challenge of modern neurosciences. This holds true, in particular, for the inference of neuronal connectivity from large...
Machine Learning Algorithms Animals Neural Networks, Computer Models, Neurological Microelectrodes Action Potentials Computational Biology Patch-Clamp Techniques Neurons Rats Synapses Nerve Net
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Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence.

International journal of molecular sciences Apr 11, 2024
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix encapsulating synapses on large populations of CNS neurons. PNN undergo structural changes in schizophrenia, epilepsy, Alzheimer's disease, stroke, post-traumatic co...
Artificial Intelligence Brain Neurons Microscopy Animals Brain Diseases Humans Nerve Net Synapses Extracellular Matrix
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A Self-Oscillated Organic Synapse for In-Memory Two-Factor Authentication.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 23, 2024
Entering the era of AI 2.0, bio-inspired target recognition facilitates life. However, target recognition may suffer from some risks when the target is hijacked. Therefore, it is significantly important to provide an encryption process prior to neuro...
Synapses Neural Networks, Computer Algorithms Humans
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