Results 91 to 100 of about 37,924 (271)

Scalable network emulation on analog neuromorphic hardware

Frontiers in Neuroscience
We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking neural networks.
Elias Arnold, Philipp Spilger, Jan V. Straub, Eric Müller, Dominik Dold, Gabriele Meoni, Johannes Schemmel   +6 more
doaj   +1 more source

A Programmable Semiconductor Containing Active Molecular Photoswitches Located in the Crystal's Volume Phase

Advanced Functional Materials, EarlyView.
A novel approach for the design of functional semiconductors is presented, which utilizes the excellent optoelectronic properties of layered hybrid perovskites and the possibility to introduce a molecular photoswitch as the organic spacer. This concept is successfully demonstrated on a coumarin‐based system with the possibility to change the bandgap ...
Oliver Treske, Yaşar Krysiak, Hans Tornatzky, Markus R. Wagner, Sebastian Polarz   +4 more
wiley   +1 more source

Improving classification accuracy of feedforward neural networks for spiking neuromorphic chips

, 2017
Deep Neural Networks (DNN) achieve human level performance in many image analytics tasks but DNNs are mostly deployed to GPU platforms that consume a considerable amount of power.
Mashford, Benjamin Scott, Tang, Jianbin, Yepes, Antonio Jimeno   +2 more
core   +1 more source

Near‐Infrared Light‐Programmable Negative Differential Transconductance in Organic Electrochemical Transistors for Reconfigurable Logic

Advanced Functional Materials, EarlyView.
Organic electrochemical transistors based on a Near‐Infrared (NIR)‐responsive polymer p(C4DPP‐T) and iodide electrolyte exhibit optically programmable negative differential transconductance. NIR illumination triggers an iodine‐mediated redox process, enabling a transition from binary to ternary conductance states within a single‐layer device.
Debdatta Panigrahi, Christina J. Kousseff, Aristea Pavlou, Zeinab Hamid, Iain McCulloch, Fabrizio Torricelli, Paul W. M. Blom, Paschalis Gkoupidenis   +7 more
wiley   +1 more source

TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design

, 2017
Implementation of Neuromorphic Systems using post Complementary Metal-Oxide-Semiconductor (CMOS) technology based Memristive Crossbar Array (MCA) has emerged as a promising solution to enable low-power acceleration of neural networks. However, the recent
Ankit, Aayush, Roy, Kaushik, Sengupta, Abhronil   +2 more
core   +1 more source

Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications

Advanced Functional Materials, EarlyView.
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa, Masaki Tsuji, Yoshihiro Furue, Yifan Geng, Satya P. Pati, Satoshi Hamasuna, Takeaki Yajima   +6 more
wiley   +1 more source

Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures

, 2017
Deep artificial neural networks (ANNs) can represent a wide range of complex functions. Implementing ANNs in Von Neumann computing systems, though, incurs a high energy cost due to the bottleneck created between CPU and memory.
Gupta, Jayesh K, Kochenderfer, Mykel, Mern, John   +2 more
core   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Advanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann, Hanglin He, Marko Mladenović, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras   +8 more
wiley   +1 more source

A Reconfigurable Mixed-signal Implementation of a Neuromorphic ADC

, 2015
We present a neuromorphic Analogue-to-Digital Converter (ADC), which uses integrate-and-fire (I&F) neurons as the encoders of the analogue signal, with modulated inhibitions to decohere the neuronal spikes trains. The architecture consists of an analogue
Hamilton, Tara Julia, Tapson, Jonathan, Thakur, Chetan Singh, van Schaik, Andre, Wang, Runchun, Xu, Ying   +5 more
core   +1 more source

Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4

Advanced Functional Materials, EarlyView.
An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante, Valeria Demontis, Jonas Riisnaes Karl, Lam Hoi Tung, Sebastiano De Stefano, Daniela Marongiu, Adolfo Mazzotti, Aditya Bhardwaj, Francesco Mattana, Elisa Pili, Selene Matta, Federico Paolucci, Michele Saba, Andrea Mura, Giovanni Bongiovanni, Monica F Craciun, Saverio Russo, Antonio Di Bartolomeo   +17 more
wiley   +1 more source