Neurocomputing, Volume 52-54
Trends in Research 2003
, Sonja Grün
: Non-parametric significance estimation of joint-spike events by shuffling and resampling.
: Correlated neuronal activity can represent multiple binding solutions.
: Functional roles of receptive field structures in the perception of orientation.
, Douglas A. Nitz
: Evidence for slow (2-10 Hz) and gamma frequency coherence between spike trains and local field potentials in the cerebellum.
John L. Baker
: Is there a support vector machine hiding in the dentate gyrus?
: A novel approach to training neurons with biological plausibility.
Martin A. Giese
: Learning recurrent neural models with minimal complexity from neural tuning data.
, Friedrich T. Sommer
: Synaptic plasticity, conduction delays, and inter-areal phase relations of spike activity in a model of reciprocally connected areas.
, Tai Sing Lee
: Adaptation of the transfer function of the Hodgkin-Huxley (HH) neuronal model.
Igor V. Filippov
: Power spectral analysis of very slow brain potential oscillations in primary visual cortex of freely moving rats during darkness and light.
Patrik O. Hoyer
: Modeling receptive fields with non-negative sparse coding.
, Aapo Hyvärinen
: A two-layer temporal generative model of natural video exhibits complex-cell-like pooling of simple cell outputs.
: A reconstruction method of projection image on worker honeybees' compound eye.
, Sun-Ho Bai
: Effects of baclofen on the directional selectivity of transient neurons in the catfish retina.
: The role of cortico-basal-thalamic loops in cognition: a computational model and preliminary results.
David C. Tam
: Real-time estimation of predictive firing rate.
, Akira Matsui
, Yasuhiro Wada
, Takeyuki Aiba
, Chiyoko Nagai
, Yumiko Uchiyama
, Makoto Iwata
, Shigeki Tanaka
, Michiyo Kozawa
, Masae Kamiyama
, Kazuyoshi Fukuzawa
: A computational approach to arm movement on the sagittal plane performed by parietal lobe damaged patients: an attempt to examine a computational model for handwriting for its neurobiological plausibility from a neuropsychological symptom.
: Comparing neurophysiological measurements of simulated and real brains.