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Rubén Moreno-Bote
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2020 – today
- 2024
- [c3]Francesco Damiani, Akiyuki Anzai, Jan Drugowitsch, Gregory C. DeAngelis, Rubén Moreno-Bote:
Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise. NeurIPS 2024 - [c2]Chiara Mastrogiuseppe, Rubén Moreno-Bote:
Controlled maximal variability along with reliable performance in recurrent neural networks. NeurIPS 2024 - 2023
- [i4]Dmytro Grytskyy, Jorge Ramírez-Ruiz, Rubén Moreno-Bote:
A general Markov decision process formalism for action-state entropy-regularized reward maximization. CoRR abs/2302.01098 (2023) - 2022
- [j15]Jorge Ramírez-Ruiz
, Rubén Moreno-Bote:
Optimal Allocation of Finite Sampling Capacity in Accumulator Models of Multialternative Decision Making. Cogn. Sci. 46(5) (2022) - [i3]Jorge Ramírez-Ruiz, Dmytro Grytskyy, Rubén Moreno-Bote:
Seeking entropy: complex behavior from intrinsic motivation to occupy action-state path space. CoRR abs/2205.10316 (2022) - 2021
- [j14]Emili Balaguer-Ballester, Ramon Nogueira, Juan M. Abolafia, Rubén Moreno-Bote, Maria V. Sanchez-Vives:
Correction: Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions. PLoS Comput. Biol. 17(12) (2021) - [i2]Rubén Moreno-Bote, Chiara Mastrogiuseppe:
Deep imagination is a close to optimal policy for planning in large decision trees under limited resources. CoRR abs/2104.06339 (2021) - 2020
- [j13]Emili Balaguer-Ballester
Representation of foreseeable choice outcomes in orbitofrontal cortex triplet-wise interactions. PLoS Comput. Biol. 16(6) (2020) - [j12]Matthieu Gilson
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks. PLoS Comput. Biol. 16(10) (2020)
2010 – 2019
- 2018
- [j11]Pragathi P. Balasubramani, Rubén Moreno-Bote
Using a Simple Neural Network to Delineate Some Principles of Distributed Economic Choice. Frontiers Comput. Neurosci. 12: 22 (2018) - [j10]Philipp Schustek
Instance-based generalization for human judgments about uncertainty. PLoS Comput. Biol. 14(6) (2018) - [i1]Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene, Martha A. Larson, Ramón López de Mántaras, Bertin Martens, Marius Miron, Rubén Moreno-Bote, Nuria Oliver, Antonio Puertas Gallardo
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. CoRR abs/1806.03192 (2018) - 2016
- [j9]Matthieu Gilson
Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome. PLoS Comput. Biol. 12(3) (2016) - 2014
- [j8]Robert Rosenbaum
Correlated neuronal activity and its relationship to coding, dynamics and network architecture. Frontiers Comput. Neurosci. 8: 102 (2014) - [j7]Rubén Moreno-Bote
Poisson-Like Spiking in Circuits with Probabilistic Synapses. PLoS Comput. Biol. 10(7) (2014) - [c1]Jan Drugowitsch, Rubén Moreno-Bote, Alexandre Pouget:
Optimal decision-making with time-varying evidence reliability. NIPS 2014: 748-756 - 2010
- [j6]Rubén Moreno-Bote
Response of Integrate-and-Fire Neurons to Noisy Inputs Filtered by Synapses with Arbitrary Timescales: Firing Rate and Correlations. Neural Comput. 22(6): 1528-1572 (2010) - [j5]Rubén Moreno-Bote
Decision Confidence and Uncertainty in Diffusion Models with Partially Correlated Neuronal Integrators. Neural Comput. 22(7): 1786-1811 (2010)
2000 – 2009
- 2009
- [j4]Asya Shpiro, Rubén Moreno-Bote
Balance between noise and adaptation in competition models of perceptual bistability. J. Comput. Neurosci. 27(1): 37-54 (2009) - 2008
- [j3]Rubén Moreno-Bote
Theory of Input Spike Auto- and Cross-Correlations and Their Effect on the Response of Spiking Neurons. Neural Comput. 20(7): 1651-1705 (2008) - 2007
- [j2]Alfonso Renart
Mean-Driven and Fluctuation-Driven Persistent Activity in Recurrent Networks. Neural Comput. 19(1): 1-46 (2007) - 2005
- [j1]Rubén Moreno-Bote
Simple model neurons with AMPA and NMDA filters: role of synaptic time scales. Neurocomputing 65-66: 441-448 (2005)
Coauthor Index
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