Výsledky vyhledávání - "neural computation"

Identifying Invariant Representations underlying Neural Computation

Autoři: Vermani, Ayesha Park, Memming RUN

Přispěvatelé: Vermani, Ayesha Park, Memming RUN

Témata: dynamical systems, neural recordings, neural computation, modeling, Domínio/Área Científica::Ciências Naturais

Popis souboru: application/pdf

Dostupnost: http://hdl.handle.net/10362/190610

Neural heterogeneity as a unifying mechanism for efficient learning in spiking neural networks

Autoři: Fudong Zhang Jingjing Cui

Zdroj: Frontiers in Computational Neuroscience, Vol 19 (2025)

Témata: neural heterogeneity, neural computation, spiking neural networks, deep learning, reservoir computing, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fncom.2025.1661070/full; https://doaj.org/toc/1662-5188

Přístupová URL adresa: https://doaj.org/article/75837f6c9b8c48a4ba6adbbbf0e429b4

Deviance detection and regularity sensitivity in dissociated neuronal cultures

Autoři: Zhuo Zhang Amit Yaron Dai Akita a další

Zdroj: Frontiers in Neural Circuits, Vol 19 (2025)

Témata: neuronal culture, deviance detection, CMOS microelectrode array, neural computation, NMDA receptor, plasticity, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fncir.2025.1584322/full; https://doaj.org/toc/1662-5110

Přístupová URL adresa: https://doaj.org/article/20a58ef949d14586bb7bf32e3bb14976

Further study on Hopf bifurcation and hybrid control strategy in BAM neural networks concerning time delay

Autoři: Qingyi Cui Changjin Xu Wei Ou a další

Zdroj: AIMS Mathematics, Vol 9, Iss 5, Pp 13265-13290 (2024)

Témata: Backpropagation Learning, Artificial neural network, Artificial intelligence, Photonic Reservoir Computing for Neural Computation, Computer Networks and Communications, Control (management), 02 engineering and technology, Network Synchronization in Complex Systems, hybrid controller, 01 natural sciences, Quantum mechanics, Feedforward Neural Networks, Biological applications of bifurcation theory, trait of solution, Artificial Intelligence, 0103 physical sciences, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, Control theory (sociology), FOS: Mathematics, Hopf bifurcation, Impulsive Control, Physics, stability, Neural Network Fundamentals and Applications, time delay, Computer science, Saddle-node bifurcation, Computer Science, Physical Sciences, Diffractive Optical Neural Networks, Time Delays, Nonlinear system, Bifurcation, bam neural networks, hopf bifurcation, Mathematics

Přístupová URL adresa: https://doaj.org/article/f89519347a63490586b269c46262d041

Review on Heterogeneity

Autoři: Hutt, Axel Neuromodulation par mEdiCamenTs phARmacologIques et NumeriquEs (NECTARINE) Centre Inria de l'Université de Lorraine a další

Přispěvatelé: Hutt, Axel Neuromodulation par mEdiCamenTs phARmacologIques et NumeriquEs (NECTARINE) Centre Inria de l'Université de Lorraine a další

Zdroj: https://inria.hal.science/hal-05350465 ; 2025.

Témata: Neural heterogeneity neural dynamics neural computation disorder attractors synchronization neuromorphic computing pattern formation self-organization, Neural heterogeneity, neural dynamics, neural computation, disorder, attractors, synchronization, neuromorphic computing, pattern formation, self-organization, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation

Dostupnost: https://inria.hal.science/hal-05350465
https://inria.hal.science/hal-05350465v1/document
https://inria.hal.science/hal-05350465v1/file/Neuron_Perspective_2025__V3__revision_.pdf

Astrocytic Field Compression and Memory Coherence_ Structured Resonance Scaling Beyond Hopfield Limits

Autoři: Bostick, Devin

Témata: Neurosciences, Artificial intelligence, Systems Biology, Cognitive Science, Theoretical Biology, Neural Computation, Astrocytes, Memory, Hopfield networks, structured resonance, PAS_mem, CODES, coherence fields, tripartite synapse, phase memory, RIC, deterministic inference, field-based memory, prime oscillators

Relation: https://zenodo.org/records/15742609; oai:zenodo.org:15742609; https://doi.org/10.5281/zenodo.15742609

Dostupnost: https://doi.org/10.5281/zenodo.15742609
https://zenodo.org/records/15742609

S1 File - Navigation strategies in Caenorhabditis elegans are differentially altered by learning

Autoři: Kevin S. Chen Anuj K. Sharma Jonathan W. Pillow a další

Témata: Neuroscience, Science Policy, Mental Health, Biological Sciences not elsewhere classified, sensing neuron reveals, precise sensory experiences, div >< p, caenorhabditis elegans <, brain generates goal, biased random walk, classical chemotaxis metric, aversive trained worms, varying navigation trajectories, flexible navigation algorithm, novel statistical model, distributed neural computation, characterize sensorimotor kernels, animals ’ learning, learned odor navigation, learned navigation strategies, learned olfactory, sensorimotor transformations, salt chemotaxis, neural basis, model trained, navigation strategies, guided navigation, dependent navigation, worm ’, animal ’

Dostupnost: https://doi.org/10.1371/journal.pbio.3003005.s001
https://figshare.com/articles/journal_contribution/S1_File_-_Navigation_strategies_in_i_Caenorhabditis_elegans_i_are_differentially_altered_by_learning/28952579

Theory of enhanced-by-coincidence neural information transmission

Autoři: Ibáñez-Berganza Miguel Bondanelli Giulio Panzeri Stefano a další

Přispěvatelé: Ibáñez-Berganza Miguel Bondanelli Giulio Panzeri Stefano a další

Témata: Continuous-time random walk, Neuroscience, Neural computation and artificial intelligence, Spiking neurons, Stochastic processes

Relation: volume:7; firstpage:1; lastpage:45; numberofpages:45; journal:PHYSICAL REVIEW RESEARCH; https://hdl.handle.net/20.500.11771/36218

Dostupnost: https://hdl.handle.net/20.500.11771/36218
https://doi.org/10.1103/9bcy-g5sx
https://journals.aps.org/prresearch/abstract/10.1103/9bcy-g5sx

Sailboat navigation control system based on spiking neural networks

Autoři: Nelson Giraldo Sebastián Isaza Ricardo Velasquez

Zdroj: Control Theory and Technology. 21:489-504

Témata: Artificial neural network, Artificial intelligence, Photonic Reservoir Computing for Neural Computation, Memristive Devices for Neuromorphic Computing, Cognitive Neuroscience, Control (management), 02 engineering and technology, Mathematical analysis, 7. Clean energy, Systems engineering, 03 medical and health sciences, Task (project management), 0302 clinical medicine, Engineering, Spiking Neurons, Artificial Intelligence, Spiking neural network, Reinforcement learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, 14. Life underwater, Electrical and Electronic Engineering, Brain-inspired Computing, Control system, Neuronal Oscillations in Cortical Networks, Biology, Scheme (mathematics), Computational intelligence, Software engineering, Control engineering, Controller (irrigation), Life Sciences, Computer science, Agronomy, Electrical engineering, Physical Sciences, Computer Science, Spike (software development), Simulation, Mathematics, Neuroscience

Convolutionary, Evolutionary, and Revolutionary: What’s Next for Brains, Bodies, and AI?

Autoři: Peter Stratton

Zdroj: Cognitive Computation. 16:2420-2427

Témata: Neural computation, Coupling, Spiking neural networks, Emergence, Self-organisation, Dynamics

On chip optical neural networks based on MMI microring resonators for image classification

Autoři: Tung Thanh Bui Dinh Thanh Le Thi Hong Loan Nguyen a další

Zdroj: Компьютерная оптика, Vol 47, Iss 4, Pp 588-595 (2023)

Témata: Artificial neural network, Artificial intelligence, Information theory, Photonic Reservoir Computing for Neural Computation, Optical fiber, microring resonators, Wavelength-division multiplexing, Resonator, Wavelength, multimode interference coupler, Chip, MNIST database, all-optical dot product, 7. Clean energy, Optical Frequency Combs and Ultrafast Lasers, Bandwidth (computing), Multiplexing, optical convolutional neural networks, Engineering, Neuromorphic Photonics, Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, Q350-390, Electrical and Electronic Engineering, Optoelectronics, Multi-mode optical fiber, optical signal processing, silicon photonics, Electronic engineering, Physics, Silicon Photonics Technology, Optics, QC350-467, Multiplexer, Optics. Light, Computer science, Atomic and Molecular Physics, and Optics, Materials science, image processing, Microresonators, Optical Modulators, Physics and Astronomy, Physical Sciences, Computer Science, Telecommunications, On-chip Interconnects, Nonlinear Optics

Přístupová URL adresa: https://doaj.org/article/ed60caad2be24645b85b712e2cfa2c7c

The Computational and Neural Bases of Context-Dependent Learning

Autoři: Heald, James B. Wolpert, Daniel M. Lengyel, Máté a další

Přispěvatelé: Heald, James B. Wolpert, Daniel M. Lengyel, Máté a další

Zdroj: Annual Review of Neuroscience

Témata: prefrontal cortex, learning, context-dependent learning, hippocampus, Bayesian inference, Brain, Prefrontal Cortex, Hippocampus, memory, motor cortex, neural computation, thalamus, Learning, Computer Simulation, continual learning

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36972611
https://www.repository.cam.ac.uk/handle/1810/357011
https://doi.org/10.1146/annurev-neuro-092322-100402

The Mechanics Underpinning Non-Deterministic Computation in Cortical Neural Networks

Autoři: Elizabeth A. Stoll

Zdroj: AppliedMath, Vol 4, Iss 3, Pp 806-827 (2024)

Témata: cortical neuron, neural computation, thermodynamic computation, probabilistic coding, two-state quantum systems, quantum information, Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2673-9909/4/3/43; https://doaj.org/toc/2673-9909

Přístupová URL adresa: https://doaj.org/article/4d8a1d39a66e4fc99e3d987c21a3c68d

Very-large-scale integrated quantum graph photonics

Autoři: Jueming Bao Zhaorong Fu Tanumoy Pramanik a další

Zdroj: Bao, J, Fu, Z, Pramanik, T, Mao, J, Chi, Y, Cao, Y, Zhai, C, Mao, Y, Dai, T, Chen, X, Jia, X, Zhao, L, Zheng, Y, Tang, B, Li, Z, Luo, J, Wang, W, Yang, Y, Peng, Y, Liu, D, Dai, D, He, Q, Muthali, A L, Oxenløwe, L K, Vigliar, C, Paesani, S, Hou, H, Santagati, R, Silverstone, J W, Laing, A, Thompson, M G, O’Brien, J L, Ding, Y, Gong, Q & Wang, J 2023, ' Very-large-scale integrated quantum graph photonics ', Nature Photonics, vol. 17, pp. 573–581 . https://doi.org/10.1038/s41566-023-01187-z
Bao, J, Fu, Z, Pramanik, T, Mao, J, Chi, Y, Cao, Y, Zhai, C, Mao, Y, Dai, T, Chen, X, Jia, X, Zhao, L, Zheng, Y, Tang, B, Li, Z, Luo, J, Wang, W, Yang, Y, Peng, Y, Liu, D, Dai, D, He, Q, Muthali, A L, Oxenlowe, L K, Vigliar, C, Paesani, S, Hou, H, Santagati, R, Silverstone, J W, Laing, A, Thompson, M G, O'Brien, J L, Ding, Y, Gong, Q & Wang, J 2023, ' Very-large-scale integrated quantum graph photonics ', Nature Photonics, vol. 17, pp. 573-581 . https://doi.org/10.1038/s41566-023-01187-z

Témata: 0301 basic medicine, Photonic Reservoir Computing for Neural Computation, 01 natural sciences, Quantum mechanics, Quantum, Quantum technology, 03 medical and health sciences, Neuromorphic Photonics, Artificial Intelligence, Quantum Computing and Simulation, Quantum computer, 0103 physical sciences, FOS: Mathematics, NETWORK, Optoelectronics, ENTANGLEMENT, Photonic integrated circuit, Topology (electrical circuits), Physics, Computer science, Quantum Information and Computation, Quantum network, Photonics, Combinatorics, Open quantum system, Computer Science, Physical Sciences, COMPUTATIONAL ADVANTAGE, Mathematics

Popis souboru: application/pdf

Přístupová URL adresa: https://orbit.dtu.dk/en/publications/297738eb-6e4c-4529-afdf-4d4eb1481497
https://curis.ku.dk/ws/files/345280546/s41566_023_01187_z.pdf

The Neural Mechanisms of Visual and Vestibular Interaction in Self-Motion Perception

Autoři: Jing Liu Fu Zeng

Zdroj: Biology, Vol 14, Iss 7, p 740 (2025)

Témata: multisensory integration, self-motion perception, visual–vestibular interaction, Bayesian inference, neural computation, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2079-7737/14/7/740; https://doaj.org/toc/2079-7737

Přístupová URL adresa: https://doaj.org/article/1e18fe43ebf1413aa67556bc2609b5b7

Predictably manipulating photoreceptor light responses to reveal their role in downstream visual responses

Autoři: Qiang Chen Norianne T Ingram Jacob Baudin a další

Zdroj: eLife, Vol 13 (2024)

Témata: visual adaptation, neural computation, sensory processing, Medicine, Science, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://elifesciences.org/articles/93795; https://doaj.org/toc/2050-084X

Přístupová URL adresa: https://doaj.org/article/c66225b279374ccf8c8eed9e5476fa36

A Survey on the Optimization of Artificial Neural Networks Using Swarm Intelligence Algorithms

Autoři: Bibi Aamirah Shafaa Emambocus Muhammed Basheer Jasser Angela Amphawan

Zdroj: IEEE Access, Vol 11, Pp 1280-1294 (2023)

Témata: Artificial neural network, Artificial intelligence, Photonic Reservoir Computing for Neural Computation, Neural Network Training, Swarm intelligence, 02 engineering and technology, 7. Clean energy, Swarm behaviour, Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Artificial Neural Networks, Computational intelligence, Gradient descent, swarm intelligence, Particle swarm optimization, Optimization Applications, Neural Network Fundamentals and Applications, Computer science, TK1-9971, Algorithm, Particle Swarm Optimization, Computer Science, Physical Sciences, Nature-Inspired Algorithms, Electrical engineering. Electronics. Nuclear engineering, optimization

Přístupová URL adresa: https://doaj.org/article/e37d7f8552ac42bf80f1cf93a476c1b9

QAP: A Quantum-Inspired Adaptive-Priority-Learning Model for Multimodal Emotion Recognition

Autoři: Ziming Li Yan Zhou Yaxin Liu a další

Zdroj: Findings of the Association for Computational Linguistics: ACL 2023. :12191-12204

Témata: Artificial intelligence, Photonic Reservoir Computing for Neural Computation, Cognitive Neuroscience, Social Sciences, Experimental and Cognitive Psychology, Modality (human–computer interaction), Modalities, Sociology, Artificial Intelligence, Machine learning, Psychology, Polymer chemistry, 10. No inequality, 4. Education, Life Sciences, Brain-Computer Interfaces in Neuroscience and Medicine, Social science, Computer science, FOS: Sociology, FOS: Psychology, Chemistry, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Emotion recognition, Modal, Multimodal Data, Speech Emotion, Emotion Recognition and Analysis in Multimodal Data, Neuroscience

Combining neural computation and genetic programming for observational causality detection and causal modelling

Autoři: Murari A Rossi R Gelfusa M

Zdroj: Artificial intelligence review (Dordr., Online) (2022): 1–37. doi:10.1007/s10462-022-10320-3
info:cnr-pdr/source/autori:Murari A.; Rossi R.; Gelfusa M./titolo:Combining neural computation and genetic programming for observational causality detection and causal modelling/doi:10.1007%2Fs10462-022-10320-3/rivista:Artificial intelligence review (Dordr., Online)/anno:2022/pagina_da:1/pagina_a:37/intervallo_pagine:1–37/volume

Témata: Graphical causal networks, Neural computation, 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Time series, Time delay neural networks, Symbolic regression, Ensembles, Symbolic regres, Genetic programming, Observational causality detection

Přístupová URL adresa: https://hdl.handle.net/20.500.14243/418286
https://link.springer.com/article/10.1007/s10462-022-10320-3
https://doi.org/10.1007/s10462-022-10320-3

Multi-task topology optimization of photonic devices in low-dimensional Fourier domain via deep learning

Autoři: Simei Mao Lirong Cheng Houyu Chen a další

Zdroj: Nanophotonics
Nanophotonics, Vol 12, Iss 5, Pp 1007-1018 (2022)

Témata: Artificial neural network, Artificial intelligence, Finite element method, Photonic Reservoir Computing for Neural Computation, QC1-999, Structural engineering, Mathematical analysis, 01 natural sciences, 7. Clean energy, Engineering, Neuromorphic Photonics, Artificial Intelligence, Photonic Crystals, Silicon Photonics, 0103 physical sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Topology optimization, inverse design, Electrical and Electronic Engineering, Optoelectronics, topology optimization, Photonic Reservoir Computing, Topology (electrical circuits), Network topology, silicon photonics, Electronic engineering, Physics, Silicon Photonics Technology, deep learning, Deep learning, Computer science, Atomic and Molecular Physics, and Optics, Materials science, Operating system, Photonics, Physics and Astronomy, Electrical engineering, Physical Sciences, Computer Science, Diffractive Optical Neural Networks, Fourier transform, Optofluidic Technology, Mathematics, Research Article

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39634354
https://doaj.org/article/f9331969229342099d1b0b1b9d251b99