Result 1 to 20 from 39 total
Neural systems underlying decisions about affective odors (English)
J. Cognitive Neuroscience 22, No. 5, 1069-1082 (2010).
1
Stochastic dynamics in the brain and probabilistic decision-making. (English)
Sendhoff, Bernhard (ed.) et al., Creating brain-like intelligence. From basic principles to complex intelligent systems. Berlin: Springer (ISBN 978-3-642-00615-9/pbk). Lecture Notes in Computer Science 5436. Lecture Notes in Artificial Intelligence, 31-50 (2009).
2
Stochastic dynamics in the brain and probabilistic decision-making (English)
Creating Brain-Like Intelligence, 31-50 (2009).
3
Selective attention to affective value alters how the brain processes olfactory stimuli (English)
J. Cognitive Neuroscience 20, No. 10, 1815-1826 (2008).
4
Hierarchical dynamical models of motor function. (English)
Neurocomputing 70, No. 4-6, 975-990 (2007).
5
Learning movement sequences with a delayed reward signal in a hierarchical model of motor function. (English)
Neural Netw. 20, No. 2, 172-181 (2007).
6
Hierarchical dynamical models of motor function. (English)
Neurocomputing 70, No. 4-6, 975-990 (2007).
7
Sequential memory: A putative neural and synaptic dynamical mechanism (English)
J. Cognitive Neuroscience 17, No. 2, 294-307 (2005).
8
Integrating fmri and single-cell data of visual working memory. (English)
Neurocomputing 58-60, 729-737 (2004).
9
Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons. (English)
Biol. Cybern. 90, No. 1, 19-32 (2004).
10
Self-organising continuous attractor networks with multiple activity packets, and the representation of space. (English)
Neural Netw. 17, No. 1, 5-27 (2004).
11
Self-organizing continuous attractor networks and motor function. (English)
Neural Netw. 16, No. 2, 161-182 (2003).
12
Invariant object recognition in the visual system with novel views of 3D objects. (English)
Neural Comput. 14, No. 11, 2585-2596 (2002).
13
A neurodynamical theory of visual attention: Comparisons with fMRI- and single-neuron data. (English)
Dorronsoro, José R. (ed.), Artificial neural networks - ICANN 2002. 12th international conference, Madrid, Spain, August 28-30, 2002. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 2415, 3-8 (2002).
14
Computational neuroscience of vision (English)
Computational neuroscience of vision, I-XVIII, 1-569 (2002).
15
A neurodynamical theory of visual attention: comparisons with fmri- and single-neuron data (English)
ICANN, 3-8 (2002).
16
Simulation studies of the speed of recurrent processing. (English)
Wermter, Stefan (ed.) et al., Emergent neural computational architectures based on neuroscience. Towards neuroscience-inspired computing. Berlin: Springer. Lect. Notes Comput. Sci. 2036, 320-332 (2001).
17
Simulation studies of the speed of recurrent processing (English)
Emergent Neural Computational Architectures Based on Neuroscience, 320-332 (2001).
18
Effective size of receptive fields of inferior temporal visual cortex neurons in natural scenes (English)
NIPS, 293-300 (2001).
19
A model of invariant object recognition in the visual system: Learning rules, activation functions, lateral inhibition, and information-based performance measures. (English)
Neural Comput. 12, No. 11, 2547-2572 (2000).
20
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