Results 131 to 140 of about 363,862 (308)
Neural computation at the thermal limit [PDF]
arXiv, 2014 Although several measurements and analyses support the idea that the brain is energy-optimized, there is one disturbing, contradictory observation: In theory, computation limited by thermal noise can occur as cheaply as ~$2.9\cdot 10^{-21}$ joules per bit (kTln2).
arxiv
Ion Intercalation‐Mediated MoS2 Conductance Switching for Highly Energy‐Efficient Memristor Synapse
Advanced Electronic Materials, EarlyView.The novel ion intercalation‐mediated memristor synapse based on MoS₂ enables highly efficient spatiotemporal information processing. The memristor achieves fast switching (500 ns) and ultra‐low energy consumption (2.85 fJ per synaptic event), while maintaining stable bidirectional synaptic plasticity modulation.
Bin Zhao +8 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.A bionic visual‐auditory perceptual system is proposed. The system exhibits remarkable multi‐modal sensory abilities to sound and light, enabling diverse functions including encrypted sound information transmission and information decoding. The perceptual system can also perform sound recognition, resulting in the implementation of a sound lock ...
Wei Sheng Wang +4 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.To solve device breakdown and conductance decay in conductance training of memristors, a novel AlOx/LN memristor is designed by inserting an AlOx layer between a single‐crystalline LiNbO3 film and Pt. The inserted AlOx layer in memristors can serve as a self‐compliance current layer to inhibit device breakdown, and can limit the recombination of O2 ...
Qin Xie +8 more
wiley +1 more source
Spike-timing dependent plasticity in inhibitory circuits
Frontiers in Synaptic Neuroscience, 2010 Inhibitory circuits in the brain rely on GABA-releasing interneurons. For long, inhibitory circuits were considered weakly plastic in the face of patterns of neuronal activity that trigger long-term changes in the synapses between excitatory principal ...
Karri P Lamsa +2 more
doaj +1 more source
A Mathematical Model of a Neuron with Synapses based on Physiology [PDF]
, 2008 The neuron, when considered as a signal processing device, itsinputs are the frequency of pulses received at the synapses, and its output is the frequency of action potentials generated- in essence, a neuron is a pulse frequency signal processing device.
Xiaolin Zhang
core +1 more source
Postsynaptic mechanisms for the induction of long-term potentiation and long-term depression of synaptic transmission in CA1 pyramidal neurons of the hippocampus [PDF]
arXiv, 2005 The studies described in this dissertation have attempted to address the cellular mechanisms of information storage by the brain. My work has focused primarily on the postsynaptic events that occur during and after induction of long-term potentiation (LTP) and long-term depression (LTD) at the Schaffer collateral-CA1 synapse of the hippocampus.
arxiv
Tailoring Dynamic Synaptic Plasticity in FeTFT Optoelectronic Synapse for Associative Learning
Advanced Electronic Materials, EarlyView.A novel optoelectronic synaptic device based on ferroelectric thin‐film transistors (FeTFTs) is proposed to achieve dynamic synaptic plasticity. The weight range is dynamically regulated by photoelectric cooperation, demonstrating the ability to simulate complex biological behaviors such as classical conditioning experiments, light adaptive behavior ...
Peng Yang +10 more
wiley +1 more source
Synchronization-Induced Spike Termination in Networks of Bistable Neurons [PDF]
arXiv, 2018 We observe and study a self-organized phenomenon whereby the activity in a network of spiking neurons spontaneously terminates. We consider different types of populations, consisting of bistable model neurons connected electrically by gap junctions, or by either excitatory or inhibitory synapses, in a scale-free connection topology.
arxiv
Advanced Electronic Materials, EarlyView.In this study, a novel 1D lead‐free metal halide, K2CuBr3, composed of earth‐abundant elements, is introduced for resistive switching and artificial synapse devices. With exceptionally low production costs and minimal environmental impact, K2CuBr3 can be a promising candidate for sustainable memory storage and neuromorphic computing.
Zijian Feng +14 more
wiley +1 more source