Results 81 to 90 of about 46,898 (329)

A neuromorphic implementation of multiple spike-timing synaptic plasticity rules for large-scale neural networks

Frontiers in Neuroscience, 2015
We present a neuromorphic implementation of multiple synaptic plasticity learning rules, which include both Spike Timing Dependent Plasticity (STDP) and Spike Timing Dependent Delay Plasticity (STDDP). We present a fully digital implementation as well as
Runchun Mark Wang, Tara Julia Hamilton, Jonathan eTapson, André evan Schaik   +3 more
doaj   +1 more source

Design and Implementation of BCM Rule Based on Spike-Timing Dependent Plasticity

, 2012
The Bienenstock-Cooper-Munro (BCM) and Spike Timing-Dependent Plasticity (STDP) rules are two experimentally verified form of synaptic plasticity where the alteration of synaptic weight depends upon the rate and the timing of pre- and post-synaptic ...
Abbott, Derek, Al-Sarawi, Said, Azghadi, Mostafa Rahimi, Iannella, Nicolangelo   +3 more
core   +1 more source

Linear stability analysis of retrieval state in associative memory neural networks of spiking neurons [PDF]

, 2002
We study associative memory neural networks of the Hodgkin-Huxley type of spiking neurons in which multiple periodic spatio-temporal patterns of spike timing are memorized as limit-cycle-type attractors.
A. Arenas, A. Bragin, A. Ylinen, A.C.C. Coolen, A.G. Siapas, A.L. Hodgkin, C. van Vreeswijk, C. von der Malsburg, C.M. Gray, D. Hansel, D.J. Amit, D.J. Amit, G. Buzsáki, G.V. Wallenstein, Guo qiang Bi, H. Hasegawa, H. Markman, H. Nishimori, H. Sakaguchi, H. Sompolinsky, J. Cook, J. Nagumo, J. Rubin, J.J. Hopfield, L.F. Abbott, L.I. Zhang, M. Okada, M. Shiino, M. Shiino, M. Shiino, M. Yamana, M. Yoshioka, M. Yoshioka, M. Yoshioka, M. Yoshioka, M. Yoshioka, M.R. Mehta, M.R. Mehta, M.V. Tsodyks, Masahiko Yoshioka, N. Kopell, O. Jensen, P.C. Bressloff, R. Eckhorn, R. FitzHugh, R. Kempter, R. Kühn, R. Kühn, S. Amari, S. Amari, S. Song, T. Aoyagi, W. Gerstner, W. Gerstner, W. Gerstner, Z. Nádasdy   +55 more
core   +1 more source

Memory Retention and Spike-Timing-Dependent Plasticity

Journal of Neurophysiology, 2009
Memory systems should be plastic to allow for learning; however, they should also retain earlier memories. Here we explore how synaptic weights and memories are retained in models of single neurons and networks equipped with spike-timing-dependent plasticity.
Guy, Billings, Mark C W, van Rossum
openaire   +3 more sources

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Creation through Polychronization [PDF]

Avant, 2017
I have recently suggested that some of the processes involved in the collaborative composition of new music could be analogous to several ideas introduced by Izhikevich in his theory of cortical spiking neurons and simple memory, a process which he calls
John Matthias
doaj   +1 more source

Neuromorphic Learning towards Nano Second Precision [PDF]

, 2013
Temporal coding is one approach to representing information in spiking neural networks. An example of its application is the location of sounds by barn owls that requires especially precise temporal coding. Dependent upon the azimuthal angle, the arrival
Meier, Karlheinz, Pfeil, Thomas, Schemmel, Johannes, Scherzer, Anne-Christine   +3 more
core   +1 more source

Fully Bio‐Based Gelatin Organohydrogels via Enzymatic Crosslinking for Sustainable Soft Strain and Temperature Sensing

Advanced Functional Materials, EarlyView.
Enzymatically crosslinked gelatin‐based organohydrogels, fabricated through a fully bio‐based and scalable process, exhibit exceptional strain and temperature sensing capabilities with minimal interference from environmental humidity. These transparent, stretchable, and ionically conductive materials operate without synthetic fillers or dopants.
Pietro Tordi, Adrián Tamayo, Yeonsu Jeong, Bin Han, Tamer Al Kayal, Aida Cavallo, Massimo Bonini, Paolo Samorì   +7 more
wiley   +1 more source

Emulating long-term synaptic dynamics with memristive devices [PDF]

, 2016
The potential of memristive devices is often seeing in implementing neuromorphic architectures for achieving brain-like computation. However, the designing procedures do not allow for extended manipulation of the material, unlike CMOS technology, the ...
Berdan, Radu, Khiat, Ali, Prodromakis, Themistoklis, Salaoru, Iulia, Vasilaki, Eleni, Wei, Shari Lim   +5 more
core   +2 more sources

Enhancing Synaptic Plasticity and Multistate Retention of Organic Neuromorphic Devices Using Anion‐Excessive Gel Electrolyte

Advanced Functional Materials, EarlyView.
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won, Jeongwoo Lee, Hyunwook Kim, Joon Hak Oh   +3 more
wiley   +1 more source