Results 121 to 130 of about 215,411 (303)
Avalanches in a Stochastic Model of Spiking Neurons
PLoS Computational Biology, 2010 Neuronal avalanches are a form of spontaneous activity widely observed in cortical slices and other types of nervous tissue, both in vivo and in vitro. They are characterized by irregular, isolated population bursts when many neurons fire together, where the number of spikes per burst obeys a power law distribution.
Marc Benayoun +3 more
openaire +6 more sources
Membrane potential fluctuations determine the precision of spike timing and synchronous activity: a model study [PDF]
, 2001 Kretzberg J, Egelhaaf M, Warzecha A-K. Membrane potential fluctuations determine the precision of spike timing and synchronous activity: a model study. Journal of computational neuroscience.
Egelhaaf, Martin ; https://orcid.org/ +2 more
core +1 more source
Ion‐Reconfigurable “N”‐Shaped Antiambipolar Behavior in Organic Electrochemical Transistors
Advanced Materials, EarlyView.A unique N‐shaped negative differential transconductance (NDT) characteristics is demonstrated in single‐polymer organic electrochemical transistors through a sequential doping–redox–doping process driven by iodide ions. This redox‐driven mechanism enables low‐voltage, ion‐controlled reconfigurability and tunable current modulation, allowing seamless ...
Debdatta Panigrahi +11 more
wiley +1 more source
Reliability of a fly motion-sensitive neuron depends on stimulus parameters [PDF]
, 2000 Warzecha A-K, Kretzberg J, Egelhaaf M. Reliability of a fly motion-sensitive neuron depends on stimulus parameters. The journal of neuroscience. 2000;20(23):8886-8896.The variability of responses of sensory neurons constrains how reliably animals can ...
Egelhaaf, Martin ; https://orcid.org/ +2 more
core
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Advanced Materials, EarlyView.We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju +9 more
wiley +1 more source
Entropy of Neuronal Spike Patterns
EntropyNeuronal spike patterns are the fundamental units of neural communication in the brain, which is still not fully understood. Entropy measures offer a quantitative framework to assess the variability and information content of these spike patterns. By quantifying the uncertainty and informational content of neuronal patterns, entropy measures provide ...
openaire +3 more sources
NESTML: a modeling language for spiking neurons
CoRR, 2016 16 pages, 5 figures, Modellierung 2016 ...
Plotnikov, Dimitri +5 more
openaire +4 more sources
Exploring olfactory sensory networks: Simulations and hardware emulation [PDF]
, 2010 Olfactory stimuli are represented in a highdimensional space by neural networks of the olfactory system. A great deal of research in olfaction has focused on this representation within the first processing stage, the olfactory bulb (vertebrates) or ...
Beyeler, Michael +19 more
core +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source