Results 61 to 70 of about 4,781,385 (251)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Inhibition by recurrent excitation: a mechanism for spike synchronization in a network of coupled neuronal oscillators [PDF]

, 1982
Egelhaaf M, Benjamin PR. Inhibition by recurrent excitation: a mechanism for spike synchronization in a network of coupled neuronal oscillators. Journal of Experimental Biology.
Egelhaaf, Martin ; https://orcid.org/, Benjamin, P. R.   +1 more
core  

High-Temperature, but Not High-Pressure, Conditions Alter Neuronal Activity

Journal of Pharmacological Sciences, 2009
.: We describe the effect of high pressure and high temperature on neuronal activity. Increased intracranial pressure is generally a pathological sign observed in intracerebral hemorrhage, brain edema, and brain tumor, yet little is known about how the ...
Mika Mizunuma, Naoya Takahashi, Atsushi Usami, Norio Matsuki, Yuji Ikegaya   +4 more
doaj   +1 more source

Detecting multineuronal temporal patterns in parallel spike trains [PDF]

, 2012
We present a non-parametric and computationally efficient method that detects spatiotemporal firing patterns and pattern sequences in parallel spike trains and tests whether the observed numbers of repeating patterns and sequences on a given timescale ...
Kai S. Gansel, Wolf eSinger, Singer, W. ; https://orcid.org/, Wolf Singer, Gansel, K., Singer, Wolf, Gansel, Kai S.   +6 more
core   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

Biologically-Inspired Massively-Parallel Architectures - computing beyond a million processors [PDF]

, 2009
The SpiNNaker project aims to develop parallel computer systems with more than a million embedded processors. The goal of the project is to support largescale simulations of systems of spiking neurons in biological real time, an application that is ...
Furber, Steve, Brown, Andrew
core   +2 more sources

Biophysical modulation and robustness of itinerant complexity in neuronal networks

Frontiers in Network Physiology
Transient 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, Asmir Shaikh, Heman Shakeri, Heman Shakeri, Ernest Barreto, John Darrell Van Horn, John Darrell Van Horn   +6 more
doaj   +1 more source

Distributed fading memory for stimulus properties in the primary visual cortex [PDF]

, 2009
It is currently not known how distributed neuronal responses in early visual areas carry stimulus-related information. We made multielectrode recordings from cat primary visual cortex and applied methods from machine learning in order to analyze the ...
Nikolić, Danko, Maass, Wolfgang, Danko Nikolić, Wolfgang Maass, Wolf Singer, Singer Wolf, Häusler, Stefan, Stefan Häusler, Singer, Wolf, Häusler Stefan, Maass Wolfgang, Nikolić Danko   +11 more
core   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Dynamical Mean Field approximation of a canonical cortical model for studying inter-population synchrony [PDF]

, 2011
The goal of this paper is twofold. We propose and explore a model to study the synchronization among populations in the canonical model of the neocortex proposed previously by (R.J. Douglas, K.A.C. Martin, A functional microcircuit for cat visual cortex.
Roberto Carlos Sotero Diaz, Ramón Martínez-Cancino, Ramón Martínez-Cancino   +2 more
core   +1 more source