Results 131 to 140 of about 52,867 (269)

From space to time: Spatial inhomogeneities lead to the emergence of spatiotemporal sequences in spiking neuronal networks.

PLoS Computational Biology, 2019
Spatio-temporal sequences of neuronal activity are observed in many brain regions in a variety of tasks and are thought to form the basis of meaningful behavior.
Sebastian Spreizer, Ad Aertsen, Arvind Kumar   +2 more
doaj   +1 more source

Excited State Opto‐Ionic Reservoir Computing in Hybrid Perovskite Electrochemically‐Gated Luminescent Cells

Advanced Materials, EarlyView.
A neuromorphic computing system exploiting opto‐ionic modulation in lead halide perovskite microcrystals demonstrates high‐dimensional reservoir dynamics with diffraction‐limited node resolution. Leveraging ultrafast excited‐state interactions, it achieves efficient computation (800 pJ/node‐operation), robustly distinguishing 4‐bit pulse sequences ...
Philipp Kollenz, Carina Herrle, Leonard Göhringer, Nasrin Solhtalab, Tom Wickenhäuser, Wolfram Pernice, Rüdiger Klingeler, Felix Deschler   +7 more
wiley   +1 more source

Spiking Deep Networks with LIF Neurons

, 2015
We train spiking deep networks using leaky integrate-and-fire (LIF) neurons, and achieve state-of-the-art results for spiking networks on the CIFAR-10 and MNIST datasets. This demonstrates that biologically-plausible spiking LIF neurons can be integrated into deep networks can perform as well as other spiking models (e.g. integrate-and-fire).
Hunsberger, Eric, Eliasmith, Chris
openaire   +2 more sources

Emergent Oscillations in Networks of Stochastic Spiking Neurons

PLoS ONE, 2011
Networks of neurons produce diverse patterns of oscillations, arising from the network's global properties, the propensity of individual neurons to oscillate, or a mixture of the two. Here we describe noisy limit cycles and quasi-cycles, two related mechanisms underlying emergent oscillations in neuronal networks whose individual components, stochastic
Wallace, Edward, Benayoun, Marc, Drongelen, Wim van, Cowan, Jack D.   +3 more
openaire   +5 more sources

Peptide‐Induced Ferroelectricity in Charge‐Transfer Supramolecular Materials

Advanced Materials, EarlyView.
Bio‐inspired supramolecular charge‐transfer amphiphiles self‐assemble into nanoribbons in water, where peptide chirality‐induced symmetry breaking generates robust ferroelectricity across multiple systems. These water‐processable organic ferroelectrics also enhance neuronal outgrowth and electrophysiological maturity, offering a versatile strategy for ...
James V. Passarelli, Yang Yang, Cara S. Smith, Jing Hao, Dhwanit R. Dave, Ashwin Narayanan, Zaida Álvarez, Broderick K. Johnson, Kelly A. Marshall, Ivan Fithian, Hiroaki Sai, Ruomeng Qiu, Charlotte L. Stern, Liam C. Palmer, Evangelos Kiskinis, Samuel I. Stupp   +15 more
wiley   +1 more source

Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics

Advanced Materials, EarlyView.
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim   +8 more
wiley   +1 more source

Nonmulberry Silk Fibroin Doping Boosts Charge Transfer and Charge Injection in Aligned Polypyrrole‐Silk Scaffolds for Low‐Voltage Neurostimulation

Advanced Materials Interfaces, EarlyView.
Conductive silk‐polypyrrole scaffolds couple redox stability with cell‐affinitive peptides present innately in an endogenous silk fibroin, enabling optimized electrical stimulation to drive neurite outgrowth. Findings establish electrochemical‐biological link for biomaterial design rules for smart nerve guidance conduits that can provide low voltage ...
Rajiv Borah, Joseph Christakiran Moses, Jnanendra Upadhyay, Jitu Mani Das, Michael G. Monaghan, Biman B. Mandal   +5 more
wiley   +1 more source

Nanoporous Microelectrodes for Neural Electrophysiology Recordings in Organotypic Culture

Advanced Materials Technologies, EarlyView.
The highly porous microelectrodes have been designed and printed on culture membranes, allowing to record electrophysiological neural activity for rodent brain slices. To keep the biocompatible nanoporous structure, the microelectrodes and insulative layer are fabricated on the bottom of culture membranes with only small connector pads added on the top.
Petro Lutsyk, Debjani Goswami, Stephen Worrall, Stuart D. Greenhill   +3 more
wiley   +1 more source

Spike train statistics and Gibbs distributions [PDF]

, 2013
This paper is based on a lecture given in the LACONEU summer school, Valparaiso, January 2012. We introduce Gibbs distribution in a general setting, including non stationary dynamics, and present then three examples of such Gibbs distributions, in the ...
Cessac, B., Cofré, R.
core   +3 more sources

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source