Josafath Israel Espinosa Ramos
Josafath Israel Espinosa Ramos
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Zitiert von
Zitiert von
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications
N Kasabov, NM Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ...
Neural Networks 78, 1-14, 2016
Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware
J Behrenbeck, Z Tayeb, C Bhiri, C Richter, O Rhodes, N Kasabov, ...
Journal of neural engineering 16 (2), 026014, 2019
Design methodology and selected applications of evolving spatio-temporal data machines in the NeuCube neuromorphic framework
N Kasabov, N Scott, E Tu, S Marks, N Sengupta, E Capecci, M Othman, ...
Neural Networks 78 (2016)), 1-14, 2016
Application of a brain-inspired spiking neural network architecture to odor data classification
A Vanarse, JI Espinosa-Ramos, A Osseiran, A Rassau, N Kasabov
Sensors 20 (10), 2756, 2020
Pulsewidth modulation-based algorithm for spike phase encoding and decoding of time-dependent analog data
A Arriandiaga, E Portillo, JI Espinosa-Ramos, NK Kasabov
IEEE Transactions on Neural Networks and Learning Systems 31 (10), 3920-3931, 2019
A computational model of neuroreceptor-dependent plasticity (nrdp) based on spiking neural networks
JI Espinosa-Ramos, E Capecci, N Kasabov
IEEE Transactions on Cognitive and Developmental Systems 11 (1), 63-72, 2017
Locating seismic-sense stations through genetic algorithm: genetic algorithms
JI Espinosa Ramos, RA Vázquez Espinoza de los Monteros
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
Incorporating structural plasticity approaches in spiking neural networks for EEG modelling
MMA Weerasinghe, JI Espinosa-Ramos, GY Wang, D Parry
IEEE Access 9, 117338-117348, 2021
Modelling absence epilepsy seizure data in the neucube evolving spiking neural network architecture
E Capecci, JI Espinosa-Ramos, N Mammone, N Kasabov, ...
2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015
Creation of spiking neuron models applied in pattern recognition problems
JI Espinosa-Ramos, N Cruz-Cortés, RA Vazquez
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
Machine learning with a snapshot of data: Spiking neural network ‘predicts’ reinforcement histories of pigeons' choice behavior
A Plessas, JI Espinosa‐Ramos, D Parry, S Cowie, J Landon
Journal of the Experimental Analysis of Behavior 117 (3), 301-319, 2022
Utilizing the neuronal behavior of spiking neurons to recognize music signals based on time coding features
D Shah, A Narayanan, JI Espinosa-Ramos
IEEE Access 10, 37317-37329, 2022
From von Neumann Architecture and Atanasoff’s ABC to Neuromorphic Computation and Kasabov’s NeuCube. Part II: Applications
M Gholami Doborjeh, Z Gholami Doborjeh, AR Gollahalli, ...
Practical Issues of Intelligent Innovations, 17-36, 2018
Spatiotemporal EEG dynamics of prospective memory in ageing and mild cognitive impairment
M Crook-Rumsey, CJ Howard, Z Doborjeh, M Doborjeh, JIE Ramos, ...
Cognitive Computation 15 (4), 1273-1299, 2023
From von Neumann Architecture and Atanasoffs ABC to Neuro-Morphic Computation and Kasabov’s NeuCube: Principles and Implementations
N Sengupta, JIE Ramos, E Tu, S Marks, N Scott, J Weclawski, ...
Learning Systems: From Theory to Practice, 1-28, 2018
Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks
E Capecci, JL Lobo, I Laña, JI Espinosa-Ramos, N Kasabov
Evolving Systems 11 (4), 599-613, 2020
A new objective function to build seismic networks using differential evolution
JI Espinosa-Ramos
2012 IEEE Congress on Evolutionary Computation, 1-7, 2012
Performance comparison of spiking neural networks to other artificial models in predicting pigeons’ learning history from binary choices
A Plessas, J Bensemann, JI Espinosa-Ramos, S Cowie, J Landon, ...
Personalized spiking neural network models inform learning histories of choice behavior
A Plessas, JI Espinosa-Ramos, D Parry, J Landon, S Cowie
Where do pigeons’ choices come from? Transfer Learning in Spiking Neural Networks for Animal Choices in Behavioral Research
A Plessas, JI Espinosa-Ramos, S Cowie, J Landon, D Parry
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