AIMC Topic: Synapses

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A neural network model for online one-shot storage of pattern sequences.

PloS one
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...

Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip.

Nature communications
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...

Hypergraph-Based Numerical Spiking Neural Membrane Systems with Novel Repartition Protocols.

International journal of neural systems
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...

Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains.

PLoS computational biology
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...

Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence.

International journal of molecular sciences
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...

A Self-Oscillated Organic Synapse for In-Memory Two-Factor Authentication.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
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...

Dual-channel neural network for instance segmentation of synapse.

Computers in biology and medicine
Detection and segmentation of neural synapses in electron microscopy images are the committed steps for analyzing neural ultrastructure. To date, manual annotation of the structure in synapses has been the primary method, which is time-consuming and ...

A Spiking Artificial Vision Architecture Based on Fully Emulating the Human Vision.

Advanced materials (Deerfield Beach, Fla.)
Intelligent vision necessitates the deployment of detectors that are always-on and low-power, mirroring the continuous and uninterrupted responsiveness characteristic of human vision. Nonetheless, contemporary artificial vision systems attain this go...

Monolithic 2D Perovskites Enabled Artificial Photonic Synapses for Neuromorphic Vision Sensors.

Advanced materials (Deerfield Beach, Fla.)
Neuromorphic visual sensors (NVS) based on photonic synapses hold a significant promise to emulate the human visual system. However, current photonic synapses rely on exquisite engineering of the complex heterogeneous interface to realize learning an...

Organic iontronic memristors for artificial synapses and bionic neuromorphic computing.

Nanoscale
To tackle the current crisis of Moore's law, a sophisticated strategy entails the development of multistable memristors, bionic artificial synapses, logic circuits and brain-inspired neuromorphic computing. In comparison with conventional electronic ...