Grid cell oscillatory interference with noisy network oscillators (Zilli and Hasselmo 2010)

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Accession:128812
To examine whether an oscillatory interference model of grid cell activity could work if the oscillators were noisy neurons, we implemented these simulations. Here the oscillators are networks (either synaptically- or gap-junction--coupled) of one or more noisy neurons (either Izhikevich's simple model or a Hodgkin-Huxley--type biophysical model) which drive a postsynaptic cell (which may be integrate-and-fire, resonate-and-fire, or the simple model) which should fire spatially as a grid cell if the simulation is successful.
Reference:
1 . Zilli EA, Hasselmo ME (2010) Coupled Noisy Spiking Neurons as Velocity-Controlled Oscillators in a Model of Grid Cell Spatial Firing J. Neurosci. 30(41):13850-13860
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Neocortex spiny stellate cell; Abstract integrate-and-fire leaky neuron;
Channel(s): I Na,p; I Na,t; I K; I K,leak; I h;
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: MATLAB;
Model Concept(s): Oscillations; Synchronization; Simplified Models; Spike Frequency Adaptation; Grid cell;
Implementer(s): Zilli, Eric [zilli at bu.edu];
Search NeuronDB for information about:  I Na,p; I Na,t; I K; I K,leak; I h;
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ZilliHasselmo2010
README.txt
Acker_sn_FI_n250.mat
fig_RS2sn_filthaftingtraj_n5000_p01_1noise_02res_July13_2D_spikes_0a.txt
fig_RS2sn_filthaftingtraj_n5000_p01_1noise_02res_July13_C_0a.mat
FigS4ABC_izh_simple0b_RS4sn_LIF_oct30_vary_gandncells_1noise_newpost_draft1.txt
FigS4DEF_izh_simple0b_RS4gn_LIF_oct30_vary_gandncells_1noise_newpost_draft1.txt
FigS8_izh_simple0b_RS2gn_LIF_nov08_vary_gandncells_0.125noise_newpost_draft1.txt
FigS8_izh_simple0b_RS2gn_LIF_nov08_vary_gandncells_0.25noise_newpost_draft1.txt
FigS8_izh_simple0b_RS2gn_LIF_nov08_vary_gandncells_0.5noise_newpost_draft1.txt
FigS8_izh_simple0b_RS2gn_LIF_nov08_vary_gandncells_1noise_newpost_draft1.txt
FigS8_izh_simple0b_RS2gn_LIF_nov08_vary_gandncells_2noise_newpost_draft1.txt
FigS8_izh_simple0b_RS2gn_LIF_nov08_vary_gandncells_4noise_newpost_draft1.txt
hafting_trajectory.m
rat_10925.mat
SI_acker_model_2d_grid.m
SI_acker_model_FI_history_dependence.m
SI_acker_model_FI_relations.m
SI_acker_model_stability_vs_params.m
SI_simple_model_2d_grid.m
SI_simple_model_FI_history_dependence.m
SI_simple_model_FI_relation.m
SI_simple_model_stability_vs_params.m
simple_model_RS1_FI_Jan09_n1.mat
simple_model_RS1gn_FI_Jan09_n250.mat
simple_model_RS1n_FI_Jan09_n1.mat
simple_model_RS1sn_FI_Jan09_n250.mat
simple_model_RS2_ext_FI_Jan09_n1.mat
simple_model_RS2_FI_Jan09_n1.mat *
simple_model_RS2gn_FI_Jan09_n250.mat
simple_model_RS2n_FI_Jan09_n1.mat
simple_model_RS2sn_FI_Jan01_n5000.mat
simple_model_RS2sn_FI_Jan01_n5000.txt
simple_model_RS2sn_FI_Jan09_n250.mat *
simple_model_RS2sn_FI_Jul10_n5000.mat
simple_model_RS2sn_FI_Jul10_n5000.txt
simple_model_RS2sn_FI_Jul11_n5000.mat
simple_model_RS2sn_FI_Jul11_n5000.txt
                            
5000	0.01	100	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	6.66101	0.15013	0.000653282	251.045	10	162
5000	0.01	101	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	6.8464	0.146064	0.000475968	435.533	11	170
5000	0.01	102	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.02304	0.142391	0.000618796	238.727	11	172
5000	0.01	103	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.1904	0.139075	0.000341454	730.521	12	190
5000	0.01	104	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.35613	0.135942	0.000293748	921.846	12	199
5000	0.01	105	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.5124	0.133115	0.000550524	246.424	13	209
5000	0.01	106	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.68056	0.1302	0.000404145	427.867	13	208
5000	0.01	107	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.83273	0.127671	0.000532669	232.229	14	218
5000	0.01	108	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.98639	0.125214	0.000422187	348.741	14	218
5000	0.01	109	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.13455	0.122933	0.000355903	464.405	15	221
5000	0.01	110	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.2837	0.12072	0.000358967	432.294	15	227
5000	0.01	111	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.428	0.118653	0.000394365	340.089	15	228
5000	0.01	112	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.57729	0.116588	0.000275379	661.677	16	238
5000	0.01	113	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.72511	0.114613	0.000313847	483.961	16	241
5000	0.01	114	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.86715	0.112776	0.00027733	590.491	17	257
5000	0.01	115	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.01478	0.110929	0.000244348	723.891	17	262
5000	0.01	116	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.15151	0.109272	0.000263027	597.146	18	273
5000	0.01	117	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.29181	0.107622	0.000253344	614.945	18	274
5000	0.01	118	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.44808	0.105842	0.000231699	699.325	19	275
5000	0.01	119	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.58684	0.104311	0.000307128	380.975	19	287
5000	0.01	120	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.73915	0.102679	0.000243992	575.762	19	285
5000	0.01	121	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.88593	0.101155	0.000344085	276.809	20	291
5000	0.01	122	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.0357	0.099645	0.000274293	416.377	20	284
5000	0.01	123	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.1858	0.0981762	0.000157812	1203.06	21	293
5000	0.01	124	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.3347	0.0967619	0.000247944	466.613	21	285
5000	0.01	125	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.5008	0.0952318	0.000338605	238.511	22	289
5000	0.01	100.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	6.75959	0.14794	0.000571936	313.409	10	162
5000	0.01	101.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	6.93449	0.144209	0.000617178	249.291	11	171
5000	0.01	102.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.1106	0.140636	0.000424906	487.817	11	174
5000	0.01	103.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.27409	0.137475	0.000346738	684.256	12	197
5000	0.01	104.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.44103	0.134392	0.000492597	316.726	12	199
5000	0.01	105.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.5953	0.131662	0.000415408	418.771	13	208
5000	0.01	106.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.75336	0.128977	0.00029764	766.837	13	208
5000	0.01	107.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.91371	0.126364	0.000428965	347.2	14	218
5000	0.01	108.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.05575	0.124136	0.000307864	639.032	14	217
5000	0.01	109.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.1986	0.121973	0.000414844	333.869	15	227
5000	0.01	110.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.35287	0.11972	0.000288345	653.47	15	228
5000	0.01	111.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.5057	0.117569	0.000246897	844.098	16	239
5000	0.01	112.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.64871	0.115625	0.000315172	492.732	16	239
5000	0.01	113.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.79511	0.1137	0.00025	744.649	17	247
5000	0.01	114.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.93894	0.111871	0.000241777	758.35	17	261
5000	0.01	115.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.07496	0.110194	0.000298895	474.229	17	259
5000	0.01	116.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.2223	0.108433	0.000247339	659.864	18	272
5000	0.01	117.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.37069	0.106717	0.000334752	343.401	18	275
5000	0.01	118.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.51721	0.105074	0.000305218	394.287	19	286
5000	0.01	119.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.66585	0.103458	0.000309688	365.589	19	285
5000	0.01	120.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.80734	0.101965	0.000253969	520.408	20	292
5000	0.01	121.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.95777	0.100425	0.000305864	342.783	20	289
5000	0.01	122.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.1142	0.0988714	0.000219415	635.669	21	286
5000	0.01	123.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.2675	0.0973952	0.000231249	547.02	21	291
5000	0.01	124.5	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.4126	0.0960381	0.00026168	409.582	21	282
5000	0.01	100.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	6.71782	0.14886	0.000591044	298.981	10	162
5000	0.01	100.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	6.79944	0.147073	0.000549711	333.333	11	164
5000	0.01	101.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	6.89019	0.145136	0.000642297	234.643	11	170
5000	0.01	101.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	6.98028	0.143264	0.000685963	197.859	11	171
5000	0.01	102.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.06452	0.141555	0.000569848	276.569	11	173
5000	0.01	102.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.15015	0.139858	0.00040104	538.566	12	180
5000	0.01	103.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.23332	0.13825	0.000377793	586.19	12	194
5000	0.01	103.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.30998	0.1368	0.000310425	841.192	12	196
5000	0.01	104.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.39787	0.135175	0.000374469	557.708	12	199
5000	0.01	104.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.47429	0.133792	0.000189128	2119.99	13	203
5000	0.01	105.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.55602	0.132346	0.000431307	394.559	13	208
5000	0.01	105.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.63677	0.130946	0.000335697	630.862	13	208
5000	0.01	106.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.7056	0.129777	0.000396135	441.018	13	209
5000	0.01	106.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.78917	0.128385	0.000403828	410.863	13	208
5000	0.01	107.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.87011	0.127064	0.000403079	399.798	14	217
5000	0.01	107.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	7.93932	0.125957	0.000484711	269.31	14	218
5000	0.01	108.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.02388	0.124629	0.000278536	790.023	14	218
5000	0.01	108.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.09537	0.123529	0.000396967	378.743	14	218
5000	0.01	109.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.16866	0.12242	0.000338484	507.027	15	227
5000	0.01	109.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.24315	0.121313	0.000264215	809.769	15	228
5000	0.01	110.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.32553	0.120113	0.000333524	493.254	15	227
5000	0.01	110.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.39069	0.11918	0.000214476	1165.21	15	227
5000	0.01	111.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.46388	0.11815	0.000330656	477.638	16	230
5000	0.01	111.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.5407	0.117088	0.000375722	360.039	16	239
5000	0.01	112.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.61148	0.116125	0.000331662	450.749	16	240
5000	0.01	112.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.68812	0.1151	0.000175119	1574.38	16	242
5000	0.01	113.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.75761	0.114188	0.000368556	347.056	16	242
5000	0.01	113.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.83121	0.113235	0.000259666	681.813	17	255
5000	0.01	114.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.89411	0.112435	0.000393607	290.491	17	255
5000	0.01	114.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	8.97243	0.111453	0.000223935	874.137	17	261
5000	0.01	115.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.04452	0.110565	0.000252342	672.08	17	262
5000	0.01	115.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.1163	0.109694	0.000248673	675.839	17	264
5000	0.01	116.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.18373	0.108889	0.000265438	580.195	18	276
5000	0.01	116.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.26266	0.107961	0.000293336	463.045	18	271
5000	0.01	117.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.32985	0.107183	0.000222948	784.376	18	276
5000	0.01	117.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.39512	0.106439	0.000274695	505.998	18	273
5000	0.01	118.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.47872	0.1055	0.00024267	631.356	19	284
5000	0.01	118.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.55065	0.104705	0.000204053	872.915	19	284
5000	0.01	119.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.62177	0.103932	0.000256152	541.746	19	286
5000	0.01	119.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.69791	0.103116	0.000283359	432.366	19	278
5000	0.01	120.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.7682	0.102374	0.000272523	457.412	19	282
5000	0.01	120.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.84497	0.101575	0.000183174	988.972	20	294
5000	0.01	121.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.92071	0.1008	0.000275299	427.881	20	292
5000	0.01	121.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	9.99458	0.100055	0.000276205	415.721	20	291
5000	0.01	122.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.0726	0.09928	0.000239737	539.097	20	285
5000	0.01	122.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.1489	0.0985333	0.000286938	367.895	21	287
5000	0.01	123.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.2196	0.0978524	0.000315625	297.798	21	289
5000	0.01	123.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.3018	0.0970714	0.000274122	385.422	21	289
5000	0.01	124.25	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.3792	0.0963476	0.000260037	418.798	21	281
5000	0.01	124.75	256	3	100	4.5	0.0006	100	-60	-40	0.7	0.03	2	-50	100	35	10.4574	0.0956273	0.000283149	345.356	22	290