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A Spin Glass Model of Path Integration in Rat Medial Entorhinal Cortex
Electrophysiological recording studies in the dorsocaudal region of medial entorhinal cortex (dMEC) of the rat reveal cells whose spatial firing fields show a remarkably regular hexagonal gridExpand
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Influence of path integration versus environmental orientation on place cell remapping between visually identical environments.
To assess the effects of interactions between angular path integration and visual landmarks on the firing of hippocampal neurons, we recorded from CA1 pyramidal cells as rats foraged in two identicalExpand
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Context Learning in the Rodent Hippocampus
TLDR
We present a Bayesian statistical theory of context learning in the rodent hippocampus. Expand
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Deforming the hippocampal map
To investigate conjoint stimulus control over place cells, Fenton et al. (J Gen Physiol 116:191–209, 2000a) recorded while rats foraged in a cylinder with 45° black and white cue cards on the wall.Expand
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Synaptic learning models of map separation in the hippocampus
TLDR
We investigated learning rules that could be responsible for the gradual separation of two maps, and found that, while simple Hebbian learning and hebbian covariance learning would not produce the separation effect, BCM learning would. Expand
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The CMU-interACT 2008 Mandarin transcription system
TLDR
We present our Mandarin BN/BC transcription system recently developed for the GALE07 evaluation. Expand
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A visually driven hippocampal place cell model
TLDR
The firing of place cells in the rodent hippocampus is partly under the control of visual landmarks in the environment (O’Keefe and Conway, 1978). Most place cell models incorporating “visual” input assume noise-free bearing and/or distance information from idealized point objects (e.g., Burgess, Recce, and O'Keefe, 1994). Expand
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Neighbour selection and adaptation for rapid speaker-dependent ASR
TLDR
Speaker dependent ASR systems have significantly lower word error rates (WER) compared to speaker independent systems. Expand
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Accent- and speaker-specific polyphone decision trees for non-native speech recognition
TLDR
Acoustic models in state-of-the-art LVCSR systems are typically trained on data from thousands of speakers and then adapted to a speaker using, e.g., various combinations of CMLLR, MLLR and MAP. Expand
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