Modeling place field activity with hierarchical slow feature analysis. Front. Comput. Neurosci. 9:51. doi: 10.3389/fncom.2015.00051 Modeling place field activity with hierarchical slow feature analysi
Cells throughout the rodent hippocampal system show place-speci�c patterns of �ring called place �el...
The formation of spatially localized activity profiles, or “bumps,” has long been proposed as a mech...
<p>Time course of SPs at selected electrodes (top) demonstrates typical SP topography shown on the m...
What are the computational laws of hippocampal activity? In this paper we argue for the slowness pri...
the date of receipt and acceptance should be inserted later Abstract Slow Feature Analysis (SFA) is ...
Slow Feature Analysis (SFA) extracts slowly varying features from a quickly varying input signal [1]...
We present a model for the self-organized formation of place cells, head-direction cells, and spatia...
Topographic maps are a brain structure connecting pre-synpatic andpost-synaptic brain regions. Topog...
| openaire: EC/H2020/785907/EU//HBP SGA2The slowness principle is a concept inspired by the visual c...
doi: 10.3389/fnins.2012.00108 Prefrontal and striatal activity related to values of objects and loca...
Slow Feature Analysis (SFA) is an efficient algorithm for learning input-output functions that extra...
Neuropsychological data and animal research suggest that hippocampus play both a critical role in ep...
Studies on computational neuroscience through functional magnetic resonance imaging and following hu...
Introduction: Direction and latency of electrical connectivity between different sites of brain expl...
Biophysical modelling of brain activity has a long and illustrious history and has recently profited...
Cells throughout the rodent hippocampal system show place-speci�c patterns of �ring called place �el...
The formation of spatially localized activity profiles, or “bumps,” has long been proposed as a mech...
<p>Time course of SPs at selected electrodes (top) demonstrates typical SP topography shown on the m...
What are the computational laws of hippocampal activity? In this paper we argue for the slowness pri...
the date of receipt and acceptance should be inserted later Abstract Slow Feature Analysis (SFA) is ...
Slow Feature Analysis (SFA) extracts slowly varying features from a quickly varying input signal [1]...
We present a model for the self-organized formation of place cells, head-direction cells, and spatia...
Topographic maps are a brain structure connecting pre-synpatic andpost-synaptic brain regions. Topog...
| openaire: EC/H2020/785907/EU//HBP SGA2The slowness principle is a concept inspired by the visual c...
doi: 10.3389/fnins.2012.00108 Prefrontal and striatal activity related to values of objects and loca...
Slow Feature Analysis (SFA) is an efficient algorithm for learning input-output functions that extra...
Neuropsychological data and animal research suggest that hippocampus play both a critical role in ep...
Studies on computational neuroscience through functional magnetic resonance imaging and following hu...
Introduction: Direction and latency of electrical connectivity between different sites of brain expl...
Biophysical modelling of brain activity has a long and illustrious history and has recently profited...
Cells throughout the rodent hippocampal system show place-speci�c patterns of �ring called place �el...
The formation of spatially localized activity profiles, or “bumps,” has long been proposed as a mech...
<p>Time course of SPs at selected electrodes (top) demonstrates typical SP topography shown on the m...
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