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	Maximum likelihood estimation of a stochastic integrate-and-fire neural encoding model. [My Copy] Neural computation, Vol. 16, No. 12. (December 2004), pp. 2533-2561. by Liam Paninski, Jonathan W. Pillow, Eero P. Simoncelli posted to stochastic_model statistics single_neuron noise neuronal_dynamics model_estimation analytic_techniques by fbaroni on 2009-11-13 15:50:11 as along with 5 people flips brian bayesian sbarthelme dmschneid
	Efficient estimation of detailed single-neuron models. [My Copy] Journal of neurophysiology, Vol. 96, No. 2. (August 2006), pp. 872-890. by Quentin J. Huys, Misha B. Ahrens, Liam Paninski posted to statistics single_neuron neuronal_dynamics multicompartimental_model model_estimation by fbaroni on 2009-11-13 15:48:18 as along with 3 people and 1 group brocktice superflunky i-stevenson TulaneCEP
	A new look at state-space models for neural data. [My Copy] Journal of computational neuroscience (1 August 2009) by Liam Paninski, Yashar Ahmadian, Daniel G. Ferreira, et al.Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua Vogelstein, Wei Wu posted to stochastic_model statistics single_neuron noise neuronal_dynamics model_estimation analytic_techniques by fbaroni on 2009-11-13 15:40:05 as along with 4 people flieder flips bayesian subhacom
	Integral equation methods for computing likelihoods and their derivatives in the stochastic integrate-and-fire model. [My Copy] Journal of computational neuroscience, Vol. 24, No. 1. (10 February 2008), pp. 69-79. by Liam Paninski, Adrian Haith, Gabor Szirtes posted to stochastic_model single_neuron noise neuronal_dynamics analytic_techniques by fbaroni on 2009-11-13 15:35:36 as along with 1 person subhacom
	The most likely voltage path and large deviations approximations for integrate-and-fire neurons. [My Copy] Journal of computational neuroscience, Vol. 21, No. 1. (August 2006), pp. 71-87. by Liam Paninski posted to stochastic_model single_neuron noise neuronal_dynamics analytic_techniques by fbaroni on 2009-11-13 15:31:06 as
	Firing patterns in the adaptive exponential integrate-and-fire model. [My Copy] Biological cybernetics, Vol. 99, No. 4-5. (1 November 2008), pp. 335-347. by Richard Naud, Nicolas Marcille, Claudia Clopath, Wulfram Gerstner posted to single_neuron neuronal_dynamics firing_patterns analytic_techniques by fbaroni on 2009-11-03 16:46:16 as along with 1 person marekrud
	Noise in integrate-and-fire neurons: from stochastic input to escape rates. [My Copy] Neural computation, Vol. 12, No. 2. (February 2000), pp. 367-384. by H. E. Plesser, W. Gerstner posted to single_neuron noise neuronal_dynamics analytic_techniques by fbaroni on 2009-11-03 16:42:33 as along with 1 person flips
	Maximum likelihood estimation of cascade point-process neural encoding models. [My Copy] Network (Bristol, England), Vol. 15, No. 4. (November 2004), pp. 243-262. by Liam Paninski posted to statistics single_neuron neuronal_dynamics methods by fbaroni on 2009-11-03 16:26:56 as along with 2 people flips bayesian
	Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-space models. [My Copy] Journal of computational neuroscience (28 April 2009) by Shinsuke Koyama, Liam Paninski posted to statistics single_neuron neuronal_dynamics methods intrinsic by fbaroni on 2009-11-03 16:24:24 as along with 1 person flips
	A theory of cortical responses. [My Copy] Philosophical transactions of the Royal Society of London. Series B, Biological sciences, Vol. 360, No. 1456. (29 April 2005), pp. 815-836. by Karl Friston posted to sensory perception neuronal_dynamics multiple_scales hierarchy context_dependent bayesian by fbaroni on 2009-10-30 17:03:48 as along with 12 people and 2 groups Sergey_gerbek markoffkin flieder PaperCollector viltrio dcoates nishiokov neilh slopeast suizan robotact banus Neuroscience S-Lab
	Recognizing sequences of sequences. [My Copy] PLoS computational biology, Vol. 5, No. 8. (14 August 2009), e1000464. by Stefan J. Kiebel, Katharina von Kriegstein, Jean Daunizeau, Karl J. Friston posted to temporal_coding sequence_learning perception neuronal_dynamics multiple_scales hierarchy bayesian by fbaroni on 2009-10-30 16:59:24 as along with 2 people mmwoodman flieder
	Bistability and non-Gaussian fluctuations in spontaneous cortical activity. [My Copy] The Journal of neuroscience : the official journal of the Society for Neuroscience, Vol. 29, No. 26. (1 July 2009), pp. 8512-8524. by Frank Freyer, Kevin Aquino, Peter A. Robinson, Petra Ritter, Michael Breakspear posted to spontaneous_activity oscillations neuronal_dynamics eeg by fbaroni on 2009-10-30 16:56:12 as along with 1 person j-ito
	The dynamic brain: from spiking neurons to neural masses and cortical fields. [My Copy] PLoS computational biology, Vol. 4, No. 8. (29 August 2008), e1000092. by Gustavo Deco, Viktor K. Jirsa, Peter A. Robinson, Michael Breakspear, Karl Friston posted to review neuronal_dynamics multiple_scales mean_field hierarchy by fbaroni on 2009-10-30 16:51:06 as along with 9 people sylvain_chevallier doncieux Scis0000002 dcoates markoffkin robotact Ema fgibson flieder
	Interspike interval statistics of neurons driven by colored noise [My Copy] Physical Review E, Vol. 69, No. 2. (27 Feb 2004), 022901. by Benjamin Lindner posted to statistics single_neuron noise neuronal_dynamics correlation colored_noise by fbaroni on 2009-10-30 15:57:50 as along with 1 person ezaydens
	Spiking Neuron Models [My Copy] (15 August 2002) by Wulfram Gerstner, Werner M. Kistler posted to neuronal_dynamics book by fbaroni on 2009-10-30 15:37:43 as along with 14 people and 1 group mthomure tkf flips aureli camster brian zinp Dax42 paulclinger edauce jborn superflunky napvasconcelos DeeJay dbk-lab
	Relation between Single Neuron and Population Spiking Statistics and Effects on Network Activity [My Copy] Physical Review Letters, Vol. 96, No. 5. (2006), 058101. by Hideyuki Câteau, Alex D. Reyes posted to variability statistics noise neuronal_dynamics network_dynamics fokker_planck by fbaroni on 2009-10-29 19:49:05 as
	Interspike interval statistics of a leaky integrate-and-fire neuron driven by Gaussian noise with large correlation times [My Copy] Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 77, No. 3. (2008), 031914. by Tilo Schwalger, Lutz S. Geier posted to variability single_neuron power-law noise neuronal_dynamics correlation by fbaroni on 2009-10-29 19:39:51 as along with 2 people bayesian i-stevenson
	Sparsely synchronized neuronal oscillations. [My Copy] Chaos (Woodbury, N.Y.), Vol. 18, No. 1. (March 2008) by Nicolas Brunel, Vincent Hakim posted to oscillations neuronal_dynamics network_dynamics analytic_techniques by fbaroni on 2009-10-29 19:12:33 as
	The labile brain. I. Neuronal transients and nonlinear coupling. [My Copy] Philosophical transactions of the Royal Society of London. Series B, Biological sciences, Vol. 355, No. 1394. (29 February 2000), pp. 215-236. by K. J. Friston posted to transient_dynamics synchrony review neuronal_dynamics neural_coding complexity by fbaroni on 2009-10-29 19:05:32 as along with 1 person josepe
	Comparative study of different integrate-and-fire neurons: Spontaneous activity, dynamical response, and stimulus-induced correlation [My Copy] Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 80, No. 3. (2009), 031909. by Rafael D. Vilela, Benjamin Lindner posted to statistics single_neuron noise neuronal_dynamics by fbaroni on 2009-10-20 14:33:27 as along with 1 person chiufanlee
	Broadband coding with dynamic synapses. [My Copy] The Journal of neuroscience : the official journal of the Society for Neuroscience, Vol. 29, No. 7. (18 February 2009), pp. 2076-2088. by Benjamin Lindner, Dorian Gangloff, André Longtin, John E. Lewis posted to synaptic_dynamics single_neuron neuronal_dynamics information context_dependent by fbaroni on 2009-10-20 14:12:03 as along with 3 people flieder ackman bayesian
	Are the input parameters of white noise driven integrate and fire neurons uniquely determined by rate and CV? [My Copy] Journal of theoretical biology, Vol. 257, No. 1. (7 March 2009), pp. 90-99. by Rafael D. Vilela, Benjamin Lindner posted to variability single_neuron noise neuronal_dynamics mean_field by fbaroni on 2009-10-20 14:09:28 as
	Dynamics of the firing probability of noisy integrate-and-fire neurons. [My Copy] Neural computation, Vol. 14, No. 9. (September 2002), pp. 2057-2110. by Nicolas Fourcaud, Nicolas Brunel posted to synaptic_dynamics single_neuron noise neuronal_dynamics fokker_planck by fbaroni on 2009-10-20 12:32:20 as
	How Good Are Neuron Models? [My Copy] Science, Vol. 326, No. 5951. (16 October 2009), pp. 379-380. by Wulfram Gerstner, Richard Naud posted to single_neuron review neuronal_dynamics by fbaroni on 2009-10-16 16:28:54 as along with 5 people flieder fpbattaglia kostasl josepe sen_cheng
	The oscillation score: an efficient method for estimating oscillation strength in neuronal activity. [My Copy] Journal of neurophysiology, Vol. 99, No. 3. (March 2008), pp. 1333-1353. by Raul C. Mureşan, Ovidiu F. Jurjuţ, Vasile V. Moca, Wolf Singer, Danko Nikolić posted to single_neuron oscillations neuronal_dynamics methods by fbaroni on 2009-10-05 15:50:33 as
	Information theory and neural coding [My Copy] Nature Neuroscience, Vol. 2, No. 11. (01 November 1999), pp. 947-957. by Alexander Borst, Frederic E. Theunissen posted to information methods neural_coding neuronal_dynamics rate_coding review temporal_coding by fbaroni on 2009-07-15 15:28:33 as along with 8 people and 1 group flieder flips Scis0000002 napvasconcelos marekrud klouie bayesian lgp101 Glimcher_Lab
	Mathematical model of an identified stomatogastric ganglion neuron. [My Copy] Journal of neurophysiology, Vol. 67, No. 2. (February 1992), pp. 332-340. by F. Buchholtz, J. Golowasch, I. R. Epstein, E. Marder posted to cpg crustacean ionic_channels neuronal_dynamics single_neuron stg by fbaroni on 2009-07-11 21:27:54 as
	Inhibition of rhythmic neural spiking by noise: the occurrence of a minimum in activity with increasing noise [My Copy] Naturwissenschaften by Boris Gutkin, Jürgen Jost, Henry Tuckwell posted to neuronal_dynamics noise oscillations resonance single_neuron by fbaroni on 2009-06-15 16:28:57 as along with 1 person josepe
	Stochastically gating ion channels enable patterned spike firing through activity-dependent modulation of spike probability. [My Copy] PLoS computational biology, Vol. 5, No. 2. (February 2009) by J. T. Dudman, M. F. Nolan posted to entorhinal firing_patterns ionic_channels neuronal_dynamics noise oscillations single_neuron by fbaroni on 2009-06-14 17:46:10 as
	Is the integrate-and-fire model good enough?--a review. [My Copy] Neural Netw, Vol. 14, No. 6-7. (p 2001), pp. 955-975. by J. Feng posted to correlation inhibition neuronal_dynamics single_neuron by fbaroni on 2009-06-14 17:41:11 as along with 1 person bayesian
	On the role of subthreshold dynamics in neuronal signaling. [My Copy] Journal of theoretical biology, Vol. 197, No. 2. (21 March 1999), pp. 207-216. by J. R. Clay, A. Shrier posted to chaos neuronal_dynamics single_neuron statistics by fbaroni on 2009-06-14 17:31:36 as
	Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. [My Copy] Neuroscience, Vol. 107, No. 1. (2001), pp. 13-24. by A. Destexhe, M. Rudolph, J. M. Fellous, T. J. Sejnowski posted to dynamic_clamp neocortex neuronal_dynamics noise single_neuron by fbaroni on 2009-06-05 17:23:58 as along with 1 person Dax42
	Integrating over time with dendritic wave-fronts. [My Copy] Nature neuroscience, Vol. 6, No. 9. (September 2003), pp. 906-908. by S. S. Wang, G. Major posted to calcium commentary intrinsic multicompartimental_model neuronal_dynamics single_neuron working_memory by fbaroni on 2009-05-28 18:30:33 as
	Temporal integration by calcium dynamics in a model neuron. [My Copy] Nature neuroscience, Vol. 6, No. 9. (September 2003), pp. 961-967. by Y. Loewenstein, H. Sompolinsky posted to calcium intrinsic multicompartimental_model neuronal_dynamics single_neuron working_memory by fbaroni on 2009-05-28 18:29:27 as
	Electric phase angle of cell membranes [My Copy] J. Gen. Physiol., Vol. 15, No. 6. (20 July 1932), pp. 641-649. by Kenneth S. Cole posted to classic neuronal_dynamics single_neuron by fbaroni on 2009-05-19 17:56:37 as
	Rectification and inductance in the squid giant axon [My Copy] J. Gen. Physiol., Vol. 25, No. 1. (20 September 1941), pp. 29-51. by Kenneth S. Cole posted to classic neuronal_dynamics single_neuron by fbaroni on 2009-05-19 17:54:36 as
	Recherches quantitatives sur l’excitation electrique des nerfs traitee comme une polarization [My Copy] J Physiol Pathol Gen, Vol. 9, pp. 620-635. by L. Lapicque posted to classic neuronal_dynamics single_neuron by fbaroni on 2009-05-17 17:51:39 as
	Excitation and Accommodation in Nerve [My Copy] Royal Society of London Proceedings Series B, Vol. 119 (February 1936), pp. 305-355. by A. V. Hill posted to classic neuronal_dynamics single_neuron by fbaroni on 2009-05-17 17:41:45 as
	Anomalous impedance, a phenomenological property of time-variant resistance. An analytic review. [My Copy] Biophysical journal, Vol. 1 (March 1961), pp. 353-372. by A. MAURO posted to classic neuronal_dynamics single_neuron by fbaroni on 2009-05-17 17:34:48 as
	Some physical aspects of bioelectric phenomena. [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 35, No. 10. (October 1949), pp. 558-566. by K. S. COLE posted to classic neuronal_dynamics single_neuron by fbaroni on 2009-05-17 17:09:06 as
	Class-II neurons display a higher degree of stochastic synchronization than class-I neurons. [My Copy] Physical review. E, Statistical, nonlinear, and soft matter physics, Vol. 77, No. 4 Pt 1. (April 2008) by S. Marella, G. B. Ermentrout posted to neuronal_dynamics noise oscillators prc single_neuron synchronization by fbaroni on 2009-05-17 16:48:17 as
	Simulations of cortical pyramidal neurons synchronized by inhibitory interneurons [My Copy] J Neurophysiol, Vol. 66, No. 3. (1 September 1991), pp. 1059-1079. by W. W. Lytton, T. J. Sejnowski posted to inhibition neuronal_dynamics single_neuron synchrony by fbaroni on 2009-04-19 19:00:38 as along with 1 person tarokiritani
	Slow conductances could underlie intrinsic phase-maintaining properties of isolated lobster (Panulirus interruptus) pyloric neurons. [My Copy] The Journal of neuroscience : the official journal of the Society for Neuroscience, Vol. 29, No. 6. (11 February 2009), pp. 1834-1845. by S. L. Hooper, E. Buchman, A. L. Weaver, J. B. Thuma, K. H. Hobbs posted to cpg crustacean intrinsic ionic_channels neuronal_dynamics phase_relation by fbaroni on 2009-03-12 15:50:42 as
	The neuronal transfer function: contributions from voltage- and time-dependent mechanisms. [My Copy] Progress in brain research, Vol. 165 (2007), pp. 1-12. by E. P. Cook, A. C. Wilhelm, J. A. Guest, Y. Liang, N. Y. Masse, C. M. Colbert posted to intrinsic ionic_channels model_estimation neuronal_dynamics single_neuron by fbaroni on 2009-02-19 17:58:57 as
	Probabilistic models for determining the input-output relationship in formalized neurons. I. A theoretical approach. [My Copy] Kybernetik, Vol. 7, No. 5. (November 1970), pp. 175-183. by L. M. Ricciardi, F. Ventriglia posted to classic neuronal_dynamics single_neuron statistics by fbaroni on 2009-02-19 17:45:38 as
	Computational simulation of the input-output relationship in hippocampal pyramidal cells. [My Copy] Journal of computational neuroscience, Vol. 21, No. 2. (October 2006), pp. 191-209. by X. Li, G. A. Ascoli posted to bursting hippocampus ionic_channels multicompartimental_model neuronal_dynamics rate_coding variability by fbaroni on 2009-02-19 17:28:04 as
	Branching dendrites with resonant membrane: a sum-over-trips approach [My Copy] Biological Cybernetics, Vol. 97, No. 2. (August 2007), pp. 137-149. by Coombes, S., Timofeeva, et al. Y., Svensson, C., Lord, G., Josic, K., Cox, S., Colbert, C. posted to hippocampus multicompartimental_model neuronal_dynamics oscillations by fbaroni on 2009-02-19 17:24:48 as
	Active dendritic properties constrain input-output relationships in neurons of the central olfactory pathway in the crayfish forebrain. [My Copy] Microscopy research and technique, Vol. 60, No. 3. (15 February 2003), pp. 278-290. by D. Mellon posted to bursting crustacean intersensory intrinsic ionic_channels neuronal_dynamics oscillations single_neuron by fbaroni on 2009-02-17 16:16:26 as
	Dynamics of a neural system with a multiscale architecture. [My Copy] Philosophical transactions of the Royal Society of London. Series B, Biological sciences, Vol. 360, No. 1457. (29 May 2005), pp. 1051-1074. by Michael Breakspear, Cornelis J. Stam posted to hierarchy multiple_scales neuronal_dynamics oscillators by fbaroni on 2009-02-17 16:01:36 as along with 3 people mmwoodman andreasloew balicea
	Control of neuronal persistent activity by voltage-dependent dendritic properties. [My Copy] Journal of neurophysiology, Vol. 100, No. 3. (September 2008), pp. 1278-1286. by E. Idoux, D. Eugène, A. Chambaz, C. Magnani, J. A. White, L. E. Moore posted to dynamic_clamp heterogeneity intrinsic multicompartimental_model neuronal_dynamics working_memory by fbaroni on 2009-02-17 12:49:11 as

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network_dynamics	403
bibtex-import	217
neural_coding	195
oscillations	165
temporal_coding	155
synaptic_plasticity	144
review	131
single_neuron	131
working_memory	120
stdp	118
hippocampus	115
memory	115
learning	109
neuronal_dynamics	107
intrinsic	103
inhibition	98
noise	92
synaptic_dynamics	71
olfaction	66
motor	59
connectivity	59
spatiotemporal_patterns	59
information	57
microcircuits	57
multicompartimental_model	53
cortex	53
methods	52
entorhinal	50
vision	46
heterogeneity	46
monkey	46
neocortex	46
cpg	45
ionic_channels	43
variability	42
synchrony	39
visual_cortex	37
correlation	37
resonance	35
behavior	35
multiple_scales	32
molecular	32
development	31
reliability	30
phase_relation	29
attractors	29
bursting	29
chaos	28
population_code	28
sleep	27
spontaneous_activity	26
statistics	25
perception	25
up_down_states	25
context_dependent	24
classic	23
sensory_system	23
delays	23
synchronization	23
audition	22
adaptation	22
cognitive	22
neuromodulation	22
prefrontal_cortex	21
internal_models	21
sensorimotor_integration	21
network_topology	20
firing_patterns	20
mean_field	19
rate_coding	19
decision_making	18
homeostasis	18
crustacean	18
calcium	17
book	17
prc	15
oscillators	15
fmri	15
dynamic_clamp	15
excitability	14
forgetting	14
human	14
intrinsic_plasticity	14
long_term_memory	13
rat	13
synfire_chains	13
lgn	13
complexity	12
reward	12
somatosensory_cortex	12
attention	11
receptive_field	11
phase_precession	11
preference	11
small-world	11
excitation	11
commentary	10
optical_imaging	10
winnerless_competition	10
navigation	10
consciousness	10
cannabinoids	10
retina	10
model_estimation	10
gaba	9
hierarchy	9
analytic_techniques	9
ltp	9
time	9
sensory	9
data_analysis	9
gap-junction	8
entropy	8
intersensory	8
morphology	8
epilepsis	8
genetics	8
bayesian	8
spatiotemporal_integration	8
mushroom_body	8
antennal_lobe	8
waves	7
biofeedback	7
drosophila	7
tactile	7
fish	7
dopamine	7
sparse_coding	7
latency	7
prediction	7
ltd	6
gain_modulation	6
metaplasticity	6
muscles	6
organotypic_slices	6
striatum	6
space_cognition	6
synaptic_tagging	6
stg	6
cerebellum	6
neuroengineering	6
stochastic_model	6
aplysia	6
fokker_planck	6
ap_generation	6
calcium_imaging	5
neuronal_heterogeneity	5
temporal_cortex	5
thalamus	5
neuropathology	5
eeg	5
neural_prosthesis	5
therapy	5
causality	5
parietal_cortex	5
power-law	5
criticality	5
sequence_learning	5
tms	5
balanced_networks	4
ecog	4
classification	4
electrosensory_organ	4
growth_model	4
corticostriatal	4
anti-hebbian_stdp	4
intercircuit	4
heterosynaptic_plasticity	4
map_models	4
schizophrenia	4
dynamic_encoding	4
head_direction	4
scale_free	4
self-organization	4
thalamocortical	4
robotic	4
imagery	4
dentate_gyrus	4
drivers_modulators	4
tetrodes	3
sparse_memory	3
in_vitro	3
neurotrophic_factors	3
fractal_patterns	3
parkinson	3
camkii	3
invertebrate	3
social_factors	3
2plsm	3
competition	3
sharp_wave_ripple	3
spinal_cord	3
nmda	3
awareness	3
path_integration	3
feeding	3
psychophysics	3
neuroeconomics	3
familiarity	3
optogenetics	3
locomotion	3
binding	3
neural	3
temporal	3
voltage_sensitive_imaging	3
silicon_probes	3
expectation	2
emotional	2
corticobasal	2
book_review	2
remapping	2
ecology	2
vector_quantization	2
neuropharmacology	2
psilocybin	2
transient_dynamics	2
language	2
cat	2
refractoriness	2
synaptic_democracy	2
neurosurgery	2
ionic_pumps	2
aging	2
songbird	2
rank_coding	2
winner-take-all	2
segmentation	2
hmm	2
philosophy	2
obstacle_avoidance	2
anatomy	2
stimulation	2
reaching	2
optimality	2
snail	2
sniffing	2
ring_network	2
psychology	2
in_vivo	2
algorithm	1
mouse	1
stability	1
evoked_potential	1
protein_synthesis	1
hemodynamics	1
muscle	1
anesthesia	1
bacteria	1
nanotechnology	1
fractals	1
ngf	1
addiction	1
extracellular_concentration	1
protein_mobility	1
colored_noise	1
respiratory	1
echolocation	1
artifacts	1
2dl	1
interlimb	1
arithmetic	1
pfc	1
game_theory	1
uncertainty	1
phase_plane	1
2read	1
vegetative_state	1
sensory_reafference	1
feed-forward_inhibition	1
sensory_deprivation	1
em	1
subcortical	1
subthalamic_nucleus	1
serotonin	1
tensor_network	1
stick_insect	1
hypothesis_testing	1
leech	1
meg	1
bat	1
electronic_neurons	1
neuronal	1
autapses	1
bdnm	1
invariant_representation	1
self-sustainability	1
autocorrelation	1
lfp	1
markov_model	1
zona_incerta	1
perceptron	1
feed-forward	1
alcohol	1
optical_stimulation	1
lamprey	1
sleepwalking	1
swimming	1
evolution	1
discrete_state_synapses	1
neuronal_replacement	1
feedback	1
brain_body_imaging	1
laterality	1
retrograde	1
intersubject	1
sexuality	1
mulit	1
reflexes	1
inferior_olive	1
kenyon_cells	1
book_chapter	1
globus_pallidus	1
extrasynaptic	1
slowness_learning	1
opioids	1
sound_localization	1
primates	1
neuron_model	1
statistical_mechanics	1
interhemispheric	1
cocaine	1
brodmann_areas	1

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