Results 61 to 70 of about 24,472 (312)

Exploring Neuromodulation for Dynamic Learning

Frontiers in Neuroscience, 2020
A continual learning system requires the ability to dynamically adapt and generalize to new tasks with access to only a few samples. In the central nervous system, across species, it is observed that continual and dynamic behavior in learning is an ...
Anurag Daram, Angel Yanguas-Gil, Dhireesha Kudithipudi   +2 more
doaj   +1 more source

A Biologically Inspired Sound Localisation System Using a Silicon Cochlea Pair

Applied Sciences, 2021
We present a biologically inspired sound localisation system for reverberant environments using the Cascade of Asymmetric Resonators with Fast-Acting Compression (CAR-FAC) cochlear model. The system exploits a CAR-FAC pair to pre-process binaural signals
Ying Xu, Saeed Afshar, Runchun Wang, Gregory Cohen, Chetan Singh Thakur, Tara Julia Hamilton, André van Schaik   +6 more
doaj   +1 more source

Digit Classification using Biologically Plausible Neuromorphic Vision [PDF]

Despite tremendous advancement in computer vision, especially with deep learning, understanding scenes in the wild remains challenging. Even modern image classification models often misclassify when presented with out-of-distribution inputs despite ...
Rainey, James, Appiah, Kofi, Maier, Patrick, Bhowmik, Deepayan, Gheorghiu, Elena   +4 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

Real-time inference in a VLSI spiking neural network [PDF]

, 2012
The ongoing motor output of the brain depends on its remarkable ability to rapidly transform and fuse a variety of sensory streams in real-time.
Matthew Cook, Neftci, Emre O; https://orcid.org/, Corneil, Dane, Dane Corneil, Neftci, Emre, Emre Neftci, Sonnleithner, Daniel, Rodney Douglas, Chicca, Elisabetta; https://orcid.org/, Giacomo Indiveri, Elisabetta Chicca, Indiveri, Giacomo; https://orcid.org/, Indiveri, Giacomo, Chicca, Elisabetta ; https://orcid.org/, Cook, Matthew, Daniel Sonnleithner, Douglas, Rodney   +16 more
core   +1 more source

Nonvolatile Memories in Spiking Neural Network Architectures: Current and Emerging Trends [PDF]

, 2022
A sustainable computing scenario demands more energy-efficient processors. Neuromorphic systems mimic biological functions by employing spiking neural networks for achieving brain-like efficiency, speed, adaptability, and intelligence.
Corradi, Federico; id_orcid, M. Lakshmi Varshika, Corradi, Federico, Anup Das, Das, Anup Kumar, Lakshmi Varshika, M., Federico Corradi   +6 more
core   +1 more source

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

Advanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand, Nuno Estrócio, Ji S. Kim, Babak Bakhit, Marian C. Istrate, Corneliu Ghica, Tiago Rebelo, Nives Strkalj, Abin Varghese, Bernardo Almeida, Luís S. Marques, Bipin Rajendran, Judith L. MacManus‐Driscoll, José P. B. Silva   +13 more
wiley   +1 more source

Transport characteristics and electrochemical properties of Y3+ doped Li4Ti5O12 as anode material

Cailiao gongcheng, 2022
Li4Ti5-xYxO12 (x=0, 0.05, 0.10, 0.15, 0.20) anode materials were synthesized by ball milling assisted solid-state method used Li2CO3 and anatase TiO2 as raw materials and yttrium nitrate (Y(NO3)3·6H2O) as yttrium source.
WU Bing, LIU Lei, WANG Xianzhi, XIAO Xiao, YANG Bao, ZHAO Jintao, GU Chengqian, MA Lei   +7 more
doaj   +1 more source

Systematic construction of finite state automata using VLSI spiking neurons

, 2012
Spiking neural networks implemented using electronic Very Large Scale Integration (VLSI) circuits are promising information processing architectures for carrying out complex cognitive tasks in real-world applications.
Neftci, Emre, Emre Neftci, Chicca, Elisabetta, Lepora, Nathan F., Rodney Douglas, Prescott, Tony J., Giacomo Indiveri, Verschure, Paul F. M. J., Jonathan Binas, Elisabetta Chicca, Binas, Jonathan, Indiveri, Giacomo, Mura, Anna, Chicca, Elisabetta ; https://orcid.org/, Douglas, Rodney   +14 more
core   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source