Cargando…

From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition

Detalles Bibliográficos
Autores principales:	Abdelmotaleb, Ahmed, Schilstra, Maria, Davey, Neil, Steuber, Volker, Wróbel, Borys
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Poster Presentation
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3704679/ http://dx.doi.org/10.1186/1471-2202-14-S1-P423

Ejemplares similares

Evolving small spiking neural networks to work as state machines for temporal pattern recognition
por: Wróbel, Borys, et al.
Publicado: (2015)

Animal control by spiking neural networks evolved with a genetic algorithm
por: Wróbel, Borys, et al.
Publicado: (2015)

Determinants of associative memory performance in spiking and non-spiking neural networks with different synaptic plasticity regimes
por: Metaxas, Alex, et al.
Publicado: (2012)

Structural plasticity and associative memory in balanced neural networks with spike-time dependent inhibitory plasticity
por: Sinha, Ankur, et al.
Publicado: (2015)

Evolution of bistable dynamics in spiking neural controllers for agents performing olfactory attraction and aversion
por: Oros, Nicolas, et al.
Publicado: (2010)

Optimization of neuronal morphologies for pattern recognition
por: de Sousa, Giseli, et al.
Publicado: (2010)

The beneficial effects of non-specific synaptic plasticity for pattern recognition in auto-associative memory
por: Calcraft, Lee, et al.
Publicado: (2011)

The effect of non-specific LTD on pattern recognition in cerebellar Purkinje cells
por: Safaryan, Karen, et al.
Publicado: (2010)

The effect of dendritic morphology on pattern recognition in the presence of active conductances
por: de Sousa, Giseli, et al.
Publicado: (2011)

Characterising the performance of balanced memory networks
por: Metaxas, Alex, et al.
Publicado: (2013)

Filamentous actin binding enables βCaMKII to regulate bidirectional plasticity in cerebellar Purkinje cells
por: Pinto, Thiago M, et al.
Publicado: (2013)

Non-specific LTD at parallel fibre - Purkinje cell synapses in cerebellar cortex provides robustness against local spatial noise during pattern recognition
por: Safaryan, Karen, et al.
Publicado: (2011)

Evolving interpretable plasticity for spiking networks
por: Jordan, Jakob, et al.
Publicado: (2021)

βCaMKII regulates bidirectional long-term plasticity in cerebellar Purkinje cells by a CaMKII/PP2B switch mechanism
por: Pinto, Thiago M, et al.
Publicado: (2014)

Temporally evolving surround suppression helps decoding in a spiking model of motion processing
por: Meier, Philip M, et al.
Publicado: (2013)

Evolution of Evolvability in Gene Regulatory Networks
por: Crombach, Anton, et al.
Publicado: (2008)

Evolving Robust Gene Regulatory Networks
por: Noman, Nasimul, et al.
Publicado: (2015)

Clustering Predicts Memory Performance in Networks of Spiking and Non-Spiking Neurons
por: Chen, Weiliang, et al.
Publicado: (2011)

Hierarchical decomposition of dynamically evolving regulatory networks
por: Ay, Ahmet, et al.
Publicado: (2015)

Emergence of direction- and orientation-selectivity and other complex structures from stochastic neuronal networks evolving under STDP
por: Arizumi, Nana, et al.
Publicado: (2011)

Cross-modular processing in a spiking neural network model
por: Vieira, Diogo PC, et al.
Publicado: (2011)

Spiking neural network model of cortical auditory source segregation
por: Krishnan, Lakshmi, et al.
Publicado: (2014)

Identifying time-delayed gene regulatory networks via an evolvable hierarchical recurrent neural network
por: Kordmahalleh, Mina Moradi, et al.
Publicado: (2017)

Short-term depression of inhibitory Purkinje cell synapses enhances gain modulation in the cerebellar nuclei
por: Bampasakis, Dimitris, et al.
Publicado: (2013)

Effect of network structure on spike train correlations in networks of integrate-and-fire neurons
por: Pernice, Volker, et al.
Publicado: (2011)

Modulation of a decision-making process by spatiotemporal spike patterns decoding: evidence from spike-train metrics analysis and spiking neural network modeling
por: Logiaco, Laureline, et al.
Publicado: (2013)

Spiking neural network model of free-energy-based reinforcement learning
por: Nakano, Takashi, et al.
Publicado: (2011)

Assessing time-varying causality network of ensemble neural spiking activity
por: Kim, Sanggyun, et al.
Publicado: (2011)

Local unsupervised learning rules for a spiking neural network with dendrite
por: Manette, Olivier FL
Publicado: (2011)

Classification of multivariate data with a spiking neural network on neuromorphic hardware
por: Schmuker, Michael, et al.
Publicado: (2013)

CPU-GPU hybrid platform for efficient spiking neural-network simulation
por: Naveros, Francisco, et al.
Publicado: (2013)

Spiking neural network model of reinforcement learning in the honeybee implemented on the GPU
por: Yavuz, Esin, et al.
Publicado: (2015)

Does CaMKII decode Ca(2+) oscillations?
por: Pinto, Thiago M, et al.
Publicado: (2012)

Using NeuroML and neuroConstruct to build neuronal network models for multiple simulators
por: Gleeson, Padraig, et al.
Publicado: (2007)

Temporal sequence learning via adaptation in biologically plausible spiking neural networks
por: Duarte, Renato, et al.
Publicado: (2014)

Single and multiple-spikes traveling wave solutions in integrate and fire neural networks
por: Oşan, Remus
Publicado: (2007)

Emergent functional neural networks organized by spike timing dependent synaptic plasticity
por: Shin, Chang-Woo, et al.
Publicado: (2007)

ROS-MUSIC toolchain for spiking neural network simulations in a robotic environment
por: Weidel, Philipp, et al.
Publicado: (2015)

Information theoretical analysis of differences in information transmission in cerebellar Purkinje cells across species
por: Kidd, Kirsty, et al.
Publicado: (2014)

Using transfer entropy to study synaptic integration in Purkinje cells
por: Kidd, Kirsty, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_08m25e8b8pm4mn6kl1nqjmjpmu