Results 121 to 130 of about 46,898 (329)

Bio-Inspired Multi-Layer Spiking Neural Network Extracts Discriminative Features from Speech Signals

, 2017
Spiking neural networks (SNNs) enable power-efficient implementations due to their sparse, spike-based coding scheme. This paper develops a bio-inspired SNN that uses unsupervised learning to extract discriminative features from speech signals, which can
A Tavanaei, G Hinton, GR Doddington, JJ Wade, LR Rabiner, M Beyeler, N Kasabov, O Abdel-Hamid, S Ghosh-Dastidar, SG Wysoski, SR Kheradpisheh, T Masquelier, W Maass, Y Bengio, Y Bengio, Y Cao, Y Dan, Y LeCun, Y LeCun   +18 more
core   +1 more source

Spike-Timing Dependent Plasticity and Feed-Forward Input Oscillations Produce Precise and Invariant Spike Phase-Locking

Frontiers in Computational Neuroscience, 2011
In the hippocampus and the neocortex, the coupling between local field potential (LFP) oscillations and the spiking of single neurons can be highly precise, across neuronal populations and cell types.
L. Muller, Romain Brette, B. Gutkin
semanticscholar   +1 more source

Spike‐timing‐dependent plasticity in hippocampal CA3 neurons

The Journal of Physiology, 2010
Synaptic plasticity of different inputs converging onto CA3 pyramidal neurons is central to theories of hippocampal function. The mossy fibre (MF) input to these neurons is thought to exhibit plasticity that is in nearly all aspects fundamentally different from plasticity in other brain regions: in particular, when induced by high frequency presynaptic
Astori, S., Pawlak, V., Köhr, G.
openaire   +4 more sources

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Control of Ca2+ influx and calmodulin activation by SK-channels in dendritic spines (dataset) [PDF]

, 2016
A 3-dimensional model of Ca2+ and calmodulin dynamics within an idealised, but biophysically-plausible, dendritic spine, demonstrates that SK-channels regulate calmodulin activation specifically during neurone firing patterns associated with induction ...
Griffith, Thom, Mellor, Jack, Tsaneva-Atanasova, Krasimira   +2 more
core  

Thermally Drawn Multifunctional All‐Hydrogel Fibers for Anti‐Fibrotic and Multimodal Neural Interfaces

Advanced Materials, EarlyView.
Hydrogels demonstrate material properties that mimic the mechanical and chemical environments of biological tissues. Yet, they face challenges during their integration into 3D interfaces. By identifying a class of thermoplastic hydrogels, a strategy is developed to pattern hydrogels in thermally drawn fibers.
Changhoon Sung, Kum Seok Nam, Yeji Kim, Honey Kang, Kanghyeon Kim, Chanwoong Yoon, Somin Lee, Ain Chung, Jiheong Kang, Young‐Gyun Park, Alan Jung Park, Haider Butt, Hyunwoo Yuk, Seongjun Park   +13 more
wiley   +1 more source

Finding patterns in timed data with spike timing dependent plasticity [PDF]

, 2012
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.Cataloged from PDF version of thesis.My research focuses on finding patterns in events - in sequences of data that happen over time.
Oliveira, Alexandre (Alexandre S.)
core  

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

Plasticity resembling spike-timing dependent synaptic plasticity: the evidence in human cortex

Frontiers in Synaptic Neuroscience, 2010
Spike-timing dependent plasticity (STDP) has been studied extensively in a variety of animal models during the past decade but whether it can be studied at the systems level of the human cortex has been a matter of debate.
Florian Müller-Dahlhaus, Ulf Ziemann, Joseph Classen   +2 more
doaj   +1 more source