Search results for "neurons"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
93	Michele Giugliano, Giancarlo La Camera, Stefano Fusi, Walter Senn	The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Populations of spiking neurons, Integrate-and-fire model, Patch clamp, Calcium spikes, Dynamics
81	Jaeseung Jeong, Yongho Kwak, Yang In Kim, Kyoung J. Lee	Dynamical Heterogeneity of Suprachiasmatic Nucleus Neurons Based on Regularity and Determinism.	J. Comput. Neurosci.	2005	DBLP DOI BibTeX RDF	suprachiasmatic nucleus, nonlinear determinism, interspike intervals, heterogeneity
80	Andreas Bahmer, Gerald Langner	A simulation of chopper neurons in the cochlear nucleus with wideband input from onset neurons.	Biol. Cybern.	2009	DBLP DOI BibTeX RDF	Chopper neurons, Spectral integration, Pitch perception, Periodicity encoding, Computer simulation
70	Ferdinand Peper, Hideki Noda	A Mechanism for the Development of Feature Detecting Neurons.	ANNES	1995	DBLP DOI BibTeX RDF	Feature detecting cells in the visual cortex, Growth of neurons, Neural Networks, Principal Component Analysis
65	Leonardo Franco, Edmund T. Rolls, Nikolaos C. Aggelopoulos, José M. Jerez	Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex.	Biol. Cybern.	2007	DBLP DOI BibTeX RDF
64	John V. Arthur, Kwabena Boahen 0001	Silicon Neurons that Inhibit to Synchronize.	ISCAS	2007	DBLP DOI BibTeX RDF
64	Arash Hadipour Niktarash	A computational model of how an interaction between the thalamocortical and thalamic reticular neurons transforms the low-frequency oscillations of the globus pallidus.	J. Comput. Neurosci.	2006	DBLP DOI BibTeX RDF	Globus pallidus, Frequency transformation, Parkinson’s disease, Computational models, Oscillations, Basal ganglia, Thalamus
58	Andreas Bahmer, Gerald Langner	Oscillating neurons in the cochlear nucleus: II. Simulation results.	Biol. Cybern.	2006	DBLP DOI BibTeX RDF
52	Andreas Bahmer, Gerald Langner	Oscillating neurons in the cochlear nucleus: I. Experimental basis of a simulation paradigm.	Biol. Cybern.	2006	DBLP DOI BibTeX RDF
52	Sung-Il Kim, Jaeseung Jeong, Yongho Kwak, Yang In Kim, Seung Hun Jung, Kyoung J. Lee	Fractal Stochastic Modeling of Spiking Activity in Suprachiasmatic Nucleus Neurons.	J. Comput. Neurosci.	2005	DBLP DOI BibTeX RDF	suprachiasmatic nucleus, interspike intervals, gamma point processes, long-term correlations, fractal, stochastic
52	Zhijie Wang 0001, Hong Fan	Implementing Fuzzy Reasoning by IAF Neurons.	ICNC (1)	2005	DBLP DOI BibTeX RDF
51	Konstantin A. Saltykov, Igor A. Shevelev	Sensitivity of Simulated Striate Neurons to Cross-Like Stimuli Based on Disinhibitory Mechanism.	IWANN (1)	2001	DBLP DOI BibTeX RDF
51	Raul Cristian Muresan, Wolf Singer, Danko Nikolic	The InfoPhase Method or How to Read Neurons with Neurons.	ICANN (2)	2008	DBLP DOI BibTeX RDF	readouts, visual cortex, Spiking neurons, temporal coding
47	Siddhartha Bhattacharyya, Paramartha Dutta, Ujjwal Maulik	Binary object extraction using bi-directional self-organizing neural network (BDSONN) architecture with fuzzy context sensitive thresholding.	Pattern Anal. Appl.	2007	DBLP DOI BibTeX RDF	Binary object extraction, Bi-directional self-organizing neural network, Fuzzy context sensitive thresholding, System transfer index
47	Yi-hong Dong, Chao Sun, Xiaoying Tai	An Adaptive Counter Propagation Network.	SNPD (2)	2007	DBLP DOI BibTeX RDF	Counter propagation network, Neural Network, Adaptive
47	Balázs Ujfalussy, Tamás Kiss	How do glutamatergic and GABAergic cells contribute to synchronization in the medial septum?	J. Comput. Neurosci.	2006	DBLP DOI BibTeX RDF	Cluster-firing, Fast-firing, Preferred firing phase, Network structure, Theta
47	Adel Daouzli, Sylvain Saïghi, Michelle Rudolph, Alain Destexhe, Sylvie Renaud	Convergence in an Adaptive Neural Network: The Influence of Noise Inputs Correlation.	IWANN (1)	2009	DBLP DOI BibTeX RDF	Neuromorphic Engineering, Silicon Neurons, Hodgkin-Huxley Model, STDP
47	Tamás D. Gedeon	Indicators of hidden neuron functionality: the weight matrix versus neuron behaviour.	ANNES	1995	DBLP DOI BibTeX RDF	hidden neuron functionality, weight matrix, neuron behaviour, hidden neuron pruning, backpropagation trained neural networks, generalisation performance, pruning process, quality driven compression, least different hidden neurons, trained weight matrix, compression process, functional equivalence problem, data compression, image coding, backpropagation, rule extraction, feedforward neural nets, image processing application
46	Jan E. Holly, Sarah E. Pierce, Gin McCollum	Head tilt-translation combinations distinguished at the level of neurons.	Biol. Cybern.	2006	DBLP DOI BibTeX RDF
46	Marifi Güler, Cem Ergün	On the Effect of the Stimulus on the Synchronization of Coupled Rose-Hindmarsh Neurons.	IJCNN (3)	2000	DBLP DOI BibTeX RDF
46	Cornelius Weber, Klaus Obermayer	Structured Models from Structured Data: Emergence of Modular Information Processing within One Sheet of Neurons.	IJCNN (4)	2000	DBLP DOI BibTeX RDF
46	Gerald Frank, Georg Hartmann, Axel Jahnke, Martin Schäfer	An accelerator for neural networks with pulse-coded model neurons.	IEEE Trans. Neural Networks	1999	DBLP DOI BibTeX RDF
46	Xun Liang 0001	Removal of hidden neurons in multilayer perceptrons by orthogonal projection and weight crosswise propagation.	Neural Comput. Appl.	2007	DBLP DOI BibTeX RDF	Hidden neurons, Weight crosswise propagation, Pruning, Orthogonal projection
46	Stefan Reinker, Ernest Puil, Robert M. Miura	Membrane Resonance and Stochastic Resonance Modulate Firing Patterns of Thalamocortical Neurons.	J. Comput. Neurosci.	2004	DBLP DOI BibTeX RDF	membrane resonance, thalamic neurons, noise, stochastic resonance, neuron model
46	Ryotaro Kamimura	Competitive Learning by Information Maximization: Eliminating Dead Neurons in Competitive Learning.	ICANN	2003	DBLP DOI BibTeX RDF	winner-take-all, dead neurons, competitive learning, Mutual information maximization
46	José Mira, Ana E. Delgado García, José R. Álvarez 0001, Angel Pérez de Madrid, Matilde Santos 0001	Towards More Realistic Self Contained Models of Neurons: High-Order, Recurrence and Local Learning.	IWANN	1993	DBLP DOI BibTeX RDF	Self-contained models, recurrent neurons, input programming, fault tolerance, local learning
41	Ryosuke Hosaka, Tohru Ikeguchi, Yutaka Sakai, Shuji Yoshizawa	A new classification of neuron models for random inputs on bifurcation structures.	ISCAS	2006	DBLP DOI BibTeX RDF
41	Erhan Öztop, Michael A. Arbib	Schema design and implementation of the grasp-related mirror neuron system.	Biol. Cybern.	2002	DBLP DOI BibTeX RDF
41	Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Andreas G. Andreou	Programmable Kernel Analog VLSI Convolution Chip for Real Time Vision Processing.	IJCNN (4)	2000	DBLP DOI BibTeX RDF
41	Hadi Fatemi Shariatpanahi, Majid Nili Ahmadabadi	Biologically Inspired Framework for Learning and Abstract Representation of Attention Control.	WAPCV	2007	DBLP DOI BibTeX RDF	Attention Control, Active Perception, Mirror Neurons, Temporally Extended Concepts, Reinforcement Learning, Concept Learning
41	Christian Boucheny, Nicolas Brunel, Angelo Arleo	A Continuous Attractor Network Model Without Recurrent Excitation: Maintenance and Integration in the Head Direction Cell System.	J. Comput. Neurosci.	2005	DBLP DOI BibTeX RDF	head direction cells, continuous attractor networks, integrate-and-fire spiking neurons
41	Dominik Slezak, Marcin S. Szczuka	Rough Neural Networks for Complex Concepts.	RSFDGrC	2007	DBLP DOI BibTeX RDF	Rough Neurons, Multi-Dimensional Neurons, Complex Concepts
40	Yuri B. Boiko, Gabriel A. Wainer	Modeling of neural decoder based on binary spiking neurons in DEVS.	SpringSim	2009	DBLP BibTeX RDF	binary response function, brain machine, neural spiking decoder, spiking decoding, discrete event simulation, DEVS, spiking neuron
40	Tatiana Britvina, Jos J. Eggermont	A Markov model for interspike interval distributions of auditory cortical neurons that do not show periodic firings.	Biol. Cybern.	2007	DBLP DOI BibTeX RDF
40	Giacomo Indiveri, Elisabetta Chicca, Rodney J. Douglas	A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
40	Waldemar Swiercz, Krzysztof J. Cios, Kevin Staley, Lukasz A. Kurgan, Frank Accurso, Scott Sagel	A new synaptic plasticity rule for networks of spiking neurons.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
40	Hongmin Cai, Xiaoyin Xu, Ju Lu, Jeff Lichtman, S. P. Yung, Stephen T. C. Wong	Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images.	ISBI	2006	DBLP DOI BibTeX RDF
40	Ying Wu 0015, Jianxue Xu, Mi He	Synchronous Behaviors of Hindmarsh-Rose Neurons with Chemical Coupling.	ICNC (1)	2005	DBLP DOI BibTeX RDF
40	Werner Hemmert, Marcus Holmberg, Ulrich Ramacher	Temporal Sound Processing by Cochlear Nucleus Octopus Neurons.	ICANN (1)	2005	DBLP DOI BibTeX RDF
40	Jirí Wiedermann	Building a Bridge between Mirror Neurons and Theory of Embodied Cognition.	SOFSEM	2004	DBLP DOI BibTeX RDF
40	Witali L. Dunin-Barkowski, A. L. Escobar, Andrew T. Lovering, John M. Orem	Respiratory pattern generator model using Ca ++-induced Ca++ release in neurons shows both pacemaker and reciprocal network properties.	Biol. Cybern.	2003	DBLP DOI BibTeX RDF
40	Franck Grammont, Alexa Riehle	Spike synchronization and firing rate in a population of motor cortical neurons in relation to movement direction and reaction time.	Biol. Cybern.	2003	DBLP DOI BibTeX RDF
40	Sander M. Bohté, Johannes A. La Poutré, Joost N. Kok	Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons.	IJCNN (3)	2000	DBLP DOI BibTeX RDF
40	Guang-Bin Huang, Haroon A. Babri	Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions.	IEEE Trans. Neural Networks	1998	DBLP DOI BibTeX RDF
40	Jocelyn Patinel, Gilles Leone, Maurice Milgram	How Many Hidden Neurons Are Needed to Recognize a Symmetrical Pattern?	IWANN	1993	DBLP DOI BibTeX RDF
40	Wolfgang Kinzel	On the stationary state of a network of inhibitory spiking neurons.	J. Comput. Neurosci.	2008	DBLP DOI BibTeX RDF	Unreliable synapses, Background activity, Neural networks, Integrate-and-fire neurons, Inhibition, Coupled oscillators
40	Michael A. Arbib, JinYong Lee	Vision and Action in the Language-Ready Brain: From Mirror Neurons to SemRep.	BVAI	2007	DBLP DOI BibTeX RDF	brain mechanisms, competition and cooperation, construction grammar, dynamic visual scenes, language perception, language production, mirror neurons, SemRep, visual perception, vision, action, action recognition, schema theory, scene descriptions
40	Zhong-yu Chen, Mita D. Desai, Xiao-Ping (Steven) Zhang	Feedforward Neural Networks with Multilevel Hidden Neurons for Remotely Sensed Image Classification.	ICIP (2)	1997	DBLP DOI BibTeX RDF	multilevel hidden neurons, remotely sensed image classification, overlapping pattern class, nonsparse pattern class, fuzzy pattern classification, LANDSAT TM data, image classification, pattern classification, feedforward neural networks, convergence property, hidden layer
39	Francisco de Borja Rodríguez Ortiz, Pablo Varona, Ramón Huerta, Mikhail I. Rabinovich, Henry D. I. Abarbanel	Richer Network Dynamics of Intrinsically Non-regular Neurons Measured through Mutual Information.	IWANN (1)	2001	DBLP DOI BibTeX RDF
35	Lei Chen 0009, Hung Keng Pung	Convergence analysis of convex incremental neural networks.	Ann. Math. Artif. Intell.	2008	DBLP DOI BibTeX RDF	Mathematics Subject Classifications (2000) 41A60, 46N10
35	Takashi Takekawa, Toshio Aoyagi, Tomoki Fukai	Synchronous and asynchronous bursting states: role of intrinsic neural dynamics.	J. Comput. Neurosci.	2007	DBLP DOI BibTeX RDF	Stimulus-dependent synchronization, Fast rhythmic burst, Phase response, Synaptic location
35	Miruna Szabo, Martin Stetter, Gustavo Deco, Stefano Fusi, Paolo Del Giudice, Maurizio Mattia	Learning to Attend: Modeling the Shaping of Selectivity in Infero-temporal Cortex in a Categorization Task.	Biol. Cybern.	2006	DBLP DOI BibTeX RDF
35	Jiang Zhong, Chunxiao Ye, Yong Feng 0002, Ying Zhou, Zhongfu Wu	Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network.	ISNN (1)	2006	DBLP DOI BibTeX RDF
35	Lei Chen 0009, Lifeng Zhou, Hung Keng Pung	Universal Approximation and QoS Violation Application of Extreme Learning Machine.	Neural Process. Lett.	2008	DBLP DOI BibTeX RDF	Extreme learning machine (ELM), Randomhidden neurons, QoS, Radial basis function (RBF), Feedforward neural network, Universal approximation
35	Eduardo Masato Iyoda, Takushi Shibata, Hajime Nobuhara, Witold Pedrycz, Kaoru Hirota	Image Compression and Reconstruction Using pit-Sigma Neural Networks.	Soft Comput.	2007	DBLP DOI BibTeX RDF	Multiplicative neurons, High-order neural networks, Genetic algorithm, Neural networks, Image compression
35	Andrés Pérez-Uribe	Using a Time-Delay Actor-Critic Neural Architecture with Dopamine-Like Reinforcement Signal for Learning in Autonomous Robots.	Emergent Neural Computational Architectures Based on Neuroscience	2001	DBLP DOI BibTeX RDF	Learning robots, actor-critic architecture, TD-learning, dopamine neurons, human teaching signals, reinforcement learning, time-delay neural networks
34	C. B. Roberts, M. P. O'Boyle, K. J. Suter	Dendrites determine the contribution of after depolarization potentials (ADPs) to generation of repetitive action potentials in hypothalamic gonadotropin releasing-hormone (GnRH) neurons.	J. Comput. Neurosci.	2009	DBLP DOI BibTeX RDF	GnRH, After-depolarization potential, Repetitive firing, Dendrite morphology
34	Yihui Liu, Jing Yang, Sanjue Hu	Transition between two excitabilities in mesencephalic V neurons.	J. Comput. Neurosci.	2008	DBLP DOI BibTeX RDF	Steady-state I-V relation, Type 1 excitability, Type 2 excitability, I NaP, I 4-AP, Frequency-current function, Mes V, Bifurcation, Excitability
34	Alexander N. Silchenko, Peter A. Tass	Computational modeling of paroxysmal depolarization shifts in neurons induced by the glutamate release from astrocytes.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Astzocyte, Glutamate release, PDS, Modeling
34	Belén Sancristóbal, José M. Sancho, Jordi García-Ojalvo	Resonant Spike Propagation in Coupled Neurons with Subthreshold Activity.	ICANN (2)	2008	DBLP DOI BibTeX RDF
34	Bertrand Fontaine, Herbert Peremans	Tuning bat LSO neurons to interaural intensity differences through spike-timing dependent plasticity.	Biol. Cybern.	2007	DBLP DOI BibTeX RDF
34	Xiaobin Lin, Philippe De Wilde	Odor Recognition with Synchronization using Integrate and Fire Neurons.	IJCNN	2007	DBLP DOI BibTeX RDF
34	Sven Buchholz 0001, Kanta Tachibana, Eckhard M. S. Hitzer	Optimal Learning Rates for Clifford Neurons.	ICANN (1)	2007	DBLP DOI BibTeX RDF
34	Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh	Fuzzy polynomial neurons as neurofuzzy processing units.	Neural Comput. Appl.	2006	DBLP DOI BibTeX RDF	Fuzzy polynomial neuron, Functional neuron, Neurofuzzy computing architecture, Universal approximator
34	Witold Pedrycz, Marek Z. Reformat, Kuwen Li	OR/AND neurons and the development of interpretable logic models.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
34	Karthik Sridharan, Matthew J. Beal, Venu Govindaraju	Competitive Mixtures of Simple Neurons.	ICPR (2)	2006	DBLP DOI BibTeX RDF
34	Yuan-Shun Dai, Michael G. Hinchey, Mingrui Qi, Xukai Zou	Autonomic Security and Self-Protection based on Feature-Recognition with Virtual Neurons.	DASC	2006	DBLP DOI BibTeX RDF
34	Alexander Kaske, Nils Bertschinger	Travelling wave patterns in a model of the spinal pattern generator using spiking neurons.	Biol. Cybern.	2005	DBLP DOI BibTeX RDF
34	Chuan Zhang, Yun-jiu Wang, Xiang-lin Qi	Modeling the acceleration sensitive neurons in the pigeon optokinetic system.	Biol. Cybern.	2005	DBLP DOI BibTeX RDF
34	José Antonio Villacorta-Atienza, Fivos Panetsos	Information coding by ensembles of resonant neurons.	Biol. Cybern.	2005	DBLP DOI BibTeX RDF
34	Edmund T. Rolls, Nikolaos C. Aggelopoulos, Leonardo Franco, Alessandro Treves	Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons.	Biol. Cybern.	2004	DBLP DOI BibTeX RDF
34	Naoki Masuda, Kazuyuki Aihara	Global and local synchrony of coupled neurons in small-world networks.	Biol. Cybern.	2004	DBLP DOI BibTeX RDF
34	Masaharu Adachi	Surrogating Neurons in an Associative Chaotic Neural Network.	ISNN (1)	2004	DBLP DOI BibTeX RDF
34	Ying Wu 0015, Jianxue Xu, Daihai He, Wuyin Jin, Mi He	Synchronization in Two Uncoupled Chaotic Neurons.	ISNN (1)	2004	DBLP DOI BibTeX RDF
34	Andres Upegui, Carlos Andrés Peña-Reyes, Eduardo Sanchez	A Hardware Implementation of a Network of Functional Spiking Neurons with Hebbian Learning.	BioADIT	2004	DBLP DOI BibTeX RDF
34	Akhil Ranjan Garg, Basabi Bhaumik, Klaus Obermayer	The Balance Between Excitation and Inhibition Not Only Leads to Variable Discharge of Cortical Neurons but Also to Contrast Invariant Orientation Tuning.	ICONIP	2004	DBLP DOI BibTeX RDF
34	Gytis Svirskis, Ramana Dodla, John Rinzel	Subthreshold outward currents enhance temporal integration in auditory neurons.	Biol. Cybern.	2003	DBLP DOI BibTeX RDF
34	Amber D. Fischer, Cihan H. Dagli	Indirect Differentiation of Function for a Network of Biologically Plausible Neurons.	ICANN	2003	DBLP DOI BibTeX RDF	Integrateand- Fire Neuron Models, Neuro-Modeling, Evolutionary Algorithms, Artificial Neural Networks, Computational Intelligence, Spiking Neural Networks, Evolutionary Neural Networks
34	Etienne Hugues, Florent Guilleux, Olivier Rochel	Contour Detection by Synchronization of Integrate-and-Fire Neurons.	Biologically Motivated Computer Vision	2002	DBLP DOI BibTeX RDF
34	Cornelius Weber, Klaus Obermayer	Emergence of Modularity within One Sheet of Neurons: A Model Comparison.	Emergent Neural Computational Architectures Based on Neuroscience	2001	DBLP DOI BibTeX RDF
34	Reza Rajimehr, Leila Montaser Kouhsari	Neurobiological Modeling of Bursting Response During Visual Attention.	IWANN (1)	2001	DBLP DOI BibTeX RDF	Thalamic relay neuron, Bursting response, Model, Visual attention
34	Igor N. Aizenberg, Naum N. Aizenberg, Constantine Butakoff, Elya Farberov	Image Recognition on the Neural Network Based on Multi-Valued Neurons.	ICPR	2000	DBLP DOI BibTeX RDF
34	Igor N. Aizenberg, Naum N. Aizenberg, Georgy A. Krivosheev	Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition.	MLDM	1999	DBLP DOI BibTeX RDF
34	Klaus-Uwe Höffgen, Hans Ulrich Simon	Robust Trainability of Single Neurons.	COLT	1992	DBLP DOI BibTeX RDF
34	André Cyr, Mounir Boukadoum, Pierre Poirier	AI-SIMCOG: a simulator for spiking neurons and multiple animats' behaviours.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	Learning and memory, Simulator, Artificial intelligence, Robot, Dynamical synapse, Spiking neurons model
34	Hong Qu, Zhang Yi 0001, XiaoBin Wang	A Winner-Take-All Neural Networks of N Linear Threshold Neurons without Self-Excitatory Connections.	Neural Process. Lett.	2009	DBLP DOI BibTeX RDF	Winner-Take-All, Multistable, Linear threshold neurons, Recurrent neural networks
34	Atsushi Shimada, Rin-Ichiro Taniguchi	Elimination of Useless Neurons in Incremental Learnable Self-Organizing Map.	WSOM	2009	DBLP DOI BibTeX RDF	Elimination of Neurons, Self-Organizing Map, Graph Cut
34	Andreas Schierwagen	Mathematical and Computational Modeling of Neurons and Neuronal Ensembles.	EUROCAST	2009	DBLP DOI BibTeX RDF	neuronal ensembles, modeling, computational, mathematical, neurons
34	Garimella S. V. S. Sivaram, Hynek Hermansky	Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR.	TSD	2008	DBLP DOI BibTeX RDF	auditory neurons and speech recognition, Feature extraction
34	Arunava Banerjee	On the sensitive dependence on initial conditions of the dynamics of networks of spiking neurons.	J. Comput. Neurosci.	2006	DBLP DOI BibTeX RDF	Sensitive dependence, Dynamical systems, Spiking neurons
34	Rey-Chue Hwang, Yu-Ju Chen, Shang-Jen Chuang, Huang-Chu Huang, Wei-Der Chang	Fast Learning Neural Network with Modified Neurons.	ICITA (1)	2005	DBLP DOI BibTeX RDF	modified neurons, fast learning, accuracy, neural model
34	Fady N. Said, Rita A. Yacoub, Ching Y. Suen	Recognition of English and Arabic Numerals using a Dynamic Number of Hidden Neurons.	ICDAR	1999	DBLP DOI BibTeX RDF	English and Arabic Numerals, Optimal Number of Hidden Neurons, Character Recognition, Neural Network Architecture
34	Santosh S. Venkatesh, Demetri Psaltis	On Reliable Computation With Formal Neurons.	IEEE Trans. Pattern Anal. Mach. Intell.	1992	DBLP DOI BibTeX RDF	computing capabilities, formal McCulloch-Pitts neurons, decision errors, random error protocol, exhaustive error protocol, protocols, neural nets, neural nets, error tolerance
33	Ken-ichiro Miura, Lance M. Optican	Membrane channel properties of premotor excitatory burst neurons may underlie saccade slowing after lesions of omnipause neurons.	J. Comput. Neurosci.	2006	DBLP DOI BibTeX RDF	Hodgkin-Huxley, raphe interpositus nucleus, NMDA receptors, glycine, glutamate, model, eye movements, saccades, RIP
33	Anthony N. Burkitt	Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials.	Biol. Cybern.	2001	DBLP DOI BibTeX RDF
33	Manuel A. Sánchez-Montañés	Strategies for the Optimization of Large Scale Networks of Integrate and Fire Neurons.	IWANN (1)	2001	DBLP DOI BibTeX RDF
32	Yuheng Chen, Pengfei Cao, Yubo Chen 0001, Kang Liu 0001, Jun Zhao	Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons.	AAAI	2024	DBLP DOI BibTeX RDF
32	Yuheng Chen, Pengfei Cao, Yubo Chen 0001, Kang Liu 0001, Jun Zhao 0001	Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons.	CoRR	2023	DBLP DOI BibTeX RDF
30	Jens Peter Lindemann, Holger Weiss, Ralf Möller 0002, Martin Egelhaaf	Saccadic flight strategy facilitates collision avoidance: closed-loop performance of a cyberfly.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Saccadic flight, Behaviour, Model simulation, Motion vision
30	Gul Muhammad Khan, Julian Francis Miller, David M. Halliday	Breaking the Synaptic Dogma: Evolving a Neuro-inspired Developmental Network.	SEAL	2008	DBLP DOI BibTeX RDF