Implantable Ionic Memristors Based on Natural Polymer Heterojunctions
Advanced Functional Materials, EarlyView.We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee +6 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam +10 more
wiley +1 more source
A Spiking Neuron and Population Model Based on the Growth Transform Dynamical System
Frontiers in Neuroscience, 2020 In neuromorphic engineering, neural populations are generally modeled in a bottom-up manner, where individual neuron models are connected through synapses to form large-scale spiking networks.
Ahana Gangopadhyay +2 more
doaj +1 more source
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons [PDF]
, 2008 Neftci E, Chicca E, Indiveri G, Slotine J-J, Douglas R. Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons. Presented at the Advances in Neural Information Processing Systems 20 (NIPS), Vancouver, British Columbia ...
Douglas, R. +8 more
core
Diversity of intrinsic frequency encoding patterns in rat cortical neurons : mechanisms and possible functions [PDF]
, 2010 Extracellular recordings of single neurons in primary and secondary somatosensory cortices of monkeys in vivo have shown that their firing rate can increase, decrease, or remain constant in different cells, as the external stimulus frequency increases ...
Robinson, Hugh P. C. +8 more
core +2 more sources
Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
Advanced Functional Materials, EarlyView.A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
Autapses enable temporal pattern recognition in spiking neural networks.
PLoS ONEMost sensory stimuli are temporal in structure. How action potentials encode the information incoming from sensory stimuli remains one of the central research questions in neuroscience.
Muhammad Yaqoob +2 more
doaj +1 more source
Focal cortical lesions induce bidirectional changes in the excitability of fast spiking and non fast spiking cortical interneurons. [PDF]
PLoS ONE, 2014 A physiological brain function requires neuronal networks to operate within a well-defined range of activity. Indeed, alterations in neuronal excitability have been associated with several pathological conditions, ranging from epilepsy to ...
Barbara Imbrosci +2 more
doaj +1 more source
Coupled neuronal oscillators in the snail Lymnaea stagnalis: endogenous cellular properties and network interactions [PDF]
, 1983 Egelhaaf M, Benjamin PR. Coupled neuronal oscillators in the snail Lymnaea stagnalis: endogenous cellular properties and network interactions. Journal of Experimental Biology.
Egelhaaf, Martin ; https://orcid.org/ +1 more
core
Advanced Functional Materials, EarlyView.The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source