Results 81 to 90 of about 52,867 (269)
Biophysical modulation and robustness of itinerant complexity in neuronal networks
Frontiers in Network PhysiologyTransient synchronization of bursting activity in neuronal networks, which occurs in patterns of metastable itinerant phase relationships between neurons, is a notable feature of network dynamics observed in vivo.
Siva Venkadesh +6 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Multicolor optoelectronic synapses are realized by vertically integrating solution‐processed MoS2 thin‐film and SWCNT. The electronically disconnected but interactive MoS2 enables photon‐modulated remote doping, producing a bi‐directional photoresponse.
Jihyun Kim +8 more
wiley +1 more source
, 2018 Developing whole-brain emulation (WBE) technology would provide immense benefits across neuroscience, biomedicine, artificial intelligence, and robotics.
Collins, Logan Thrasher
core +1 more source
Near‐Infrared Organic Photovoltaic Electrodes for Subretinal Neurostimulation
Advanced Functional Materials, EarlyView.Organic photovoltaic electrodes based on the D18:Y6 blend enable precise and light‐controlled activation of retinal ganglion cells in a degenerating retina. NIR Light‐driven activation of retinal ganglion cells, tunable stimulation parameters, and biocompatibility with human retinal organoids highlight their potential for next‐generation prosthetics ...
Andrea Corna +10 more
wiley +1 more source
Associative memory in a network of ‘spiking’ neurons [PDF]
Network: Computation in Neural Systems, 1992 The Hopfield network provides a simple model of an associative memory in a neuronal structure. It is, however, based on highly artificial assumptions, especially the use of formal two-state neurons or graded-response neurons. The authors address the question of what happens if formal neurons are replaced by a model of ‘spiking’ neurons.
Gerstner, Wulfram, van Hemmen, J. Leo
openaire +2 more sources
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
Efficient spiking neural network model of pattern motion selectivity in visual cortex [PDF]
, 2014 Simulating large-scale models of biological motion perception is challenging, due to the required memory to store the network structure and the computational power needed to quickly solve the neuronal dynamics. A low-cost yet high-performance approach to
Beyeler, M +3 more
core
Homeostatic plasticity and external input shape neural network dynamics
, 2018 In vitro and in vivo spiking activity clearly differ. Whereas networks in vitro develop strong bursts separated by periods of very little spiking activity, in vivo cortical networks show continuous activity.
Priesemann, Viola +2 more
core +1 more source
The impact of spike timing variability on the signal-encoding performance of neural spiking models [PDF]
, 2002 It remains unclear whether the variability of neuronal spike trains in vivo arises due to biological noise sources or represents highly precise encoding of temporally varying synaptic input signals. Determining the variability of spike timing can provide
Koch, Christof +2 more
core +1 more source
Advanced Functional Materials, EarlyView.A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang +9 more
wiley +1 more source