F17-06-COGS1-NITZ-Space-Mapping-The-Brain.pdf

18 hz nitz 2006 neuron see also wood et al 2000 frank

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18 Hz Nitz, 2006, Neuron – see also Wood et al., 2000, Frank et al., 2000, Ferbinteanu and Shapiro, 2003
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50 cm three patterns of hippocampal firing seen on squared spirals ‘adapting’ field sets ~50% of all ‘non-adapting’ field sets (corners only) ~25% of all isolated fields (loops 1 and 5 only) ~25% of all 0 10 Hz on spiral tracks, most hippocampal neurons generate patterns indicative of generalization across space and time – such generalizations can reflect recursion in the shape of route sub-spaces Nitz, 2011, J. Neurophysiology loop 1 2 3 4 5 loop 1 2 3 4 5
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a potential pathway transitioning spatial knowledge to action posterior parietal cortex retrosplenial cortex dorsal hippocampus – CA1 medial precentral cortex (M2/Fr2)
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10 0 rate (Hz) all cells multi-field neurons of subiculum encode analogous components of paths that differ in environmental location and action sequence subiculum multi-field neurons with encoding of ‘analogy’ subiculum single-field neurons and multi-field neurons lacking encoding of ‘analogy’ task: traverse 4 same- length, three-turn paths from a single starting point (orange circle) to goal sites (x’s) and return via one of two ‘return’ paths (purple)
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10 0 firing rate (Hz) all cells little evidence for encoding of sub-space analogy in CA1 place fields
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22 Hz 0 Hz 40 Hz 40 Hz 10 Hz 0 Hz 15 Hz 15 Hz 22 Hz 0 Hz 60 Hz 24 Hz 0 Hz 30 Hz 30 Hz rat NS 15 neuron 174 60 Hz rat NS 16 neuron 65 rat NS 16 neuron 21 rat NS 14 neuron 11 axis-tuned neurons of the subiculum: approximately 9% of the population – tuning is present during track running but largely absent during free foraging Olson, Tongprasearth,Nitz, 2017,NatureNeuroscience
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0.0144 0.0098 0.0014 0.0024 0.0010 0.0011 0.0014 0.0015 0.0014 cross-validation data and Von Mises mixture model fits 0 1 2 3 4 5 6 7 8 1 0.68 0.10 0.17 0.07 0.07 0.09 0.10 0.09 SSE SSE ratio difference - 0.32 0.58 -0.07 0.10 0.00 0.02 -0.01 0.01 training data and Von Mises mixture model fit 0 1 2 3 4 5 6 7 8 rat NS14 - neuron 28 big peak small peak peak rates 22 Hz 11 Hz min rates (green) 1 Hz 2 Hz spatial independence 88.7% 57.1% ratio peaks:mins 8.2 zero order model (circle) order 1 model order 2 model order 3 model order 4 model order 5 model order 6 model order 7 model order 8 model 1 2 3 4 5 6 7 8 35 arena data Model Order (# of Von Mises Distributions) neuron count (N = 542) 1 2 3 4 5 6 7 8 35 track data Model Order (# of Von Mises Distributions) neuron count (N = 542) quantification of bi-directional tuning: 1. fit circles or Von Mises distributions to 1/2 of data 2. apply models to other 1/2 of data 3. measure difference in error to zero order model and previous model 4. apply criteria for ‘best fit’
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27 Hz 0 Hz 30 Hz 40 Hz 40 Hz 60 Hz 60 Hz 50 Hz 50 Hz B 30 Hz 29 Hz 0 Hz 20 Hz 0 Hz 21 Hz 0 Hz rat NS 14 neuron 6 rat NS 14 neuron 16 rat NS 15 neuron 54 rat NS 16 neuron 6 -1 0 1 -0.5 0.5 * normal and 90 ° -rotated configurations left: stable tuning peaks middle/right: correlation of rotated and non-rotated directional tuning plots subiculum axis-tuned neurons carry the environmental space as their frame of reference Olson, Tongprasearth, Nitz, 2017, Nature Neuroscience
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task: traverse 4 same-length, three-turn paths from a single starting point (orange circle) to
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  • Spring '08
  • LEWIS
  • Douglas Nitz

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