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Items: 1 to 50 of 134

1.

Training dynamically balanced excitatory-inhibitory networks.

Ingrosso A, Abbott LF.

PLoS One. 2019 Aug 8;14(8):e0220547. doi: 10.1371/journal.pone.0220547. eCollection 2019.

2.

Heading direction with respect to a reference point modulates place-cell activity.

Jercog PE, Ahmadian Y, Woodruff C, Deb-Sen R, Abbott LF, Kandel ER.

Nat Commun. 2019 May 27;10(1):2333. doi: 10.1038/s41467-019-10139-7.

3.

Positional Strategies for Connection Specificity and Synaptic Organization in Spinal Sensory-Motor Circuits.

Balaskas N, Abbott LF, Jessell TM, Ng D.

Neuron. 2019 Jun 19;102(6):1143-1156.e4. doi: 10.1016/j.neuron.2019.04.008. Epub 2019 May 7.

PMID:
31076274
4.

Generalization of learned responses in the mormyrid electrosensory lobe.

Dempsey C, Abbott LF, Sawtell NB.

Elife. 2019 Mar 14;8. pii: e44032. doi: 10.7554/eLife.44032.

5.

Inferring single-trial neural population dynamics using sequential auto-encoders.

Pandarinath C, O'Shea DJ, Collins J, Jozefowicz R, Stavisky SD, Kao JC, Trautmann EM, Kaufman MT, Ryu SI, Hochberg LR, Henderson JM, Shenoy KV, Abbott LF, Sussillo D.

Nat Methods. 2018 Oct;15(10):805-815. doi: 10.1038/s41592-018-0109-9. Epub 2018 Sep 17.

6.

Internally Generated Predictions Enhance Neural and Behavioral Detection of Sensory Stimuli in an Electric Fish.

Enikolopov AG, Abbott LF, Sawtell NB.

Neuron. 2018 Jul 11;99(1):135-146.e3. doi: 10.1016/j.neuron.2018.06.006.

7.

Odor Perception on the Two Sides of the Brain: Consistency Despite Randomness.

Schaffer ES, Stettler DD, Kato D, Choi GB, Axel R, Abbott LF.

Neuron. 2018 May 16;98(4):736-742.e3. doi: 10.1016/j.neuron.2018.04.004. Epub 2018 Apr 26.

8.

A transformation from temporal to ensemble coding in a model of piriform cortex.

Stern M, Bolding KA, Abbott LF, Franks KM.

Elife. 2018 Mar 29;7. pii: e34831. doi: 10.7554/eLife.34831.

9.

full-FORCE: A target-based method for training recurrent networks.

DePasquale B, Cueva CJ, Rajan K, Escola GS, Abbott LF.

PLoS One. 2018 Feb 7;13(2):e0191527. doi: 10.1371/journal.pone.0191527. eCollection 2018.

10.

Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response.

Russo AA, Bittner SR, Perkins SM, Seely JS, London BM, Lara AH, Miri A, Marshall NJ, Kohn A, Jessell TM, Abbott LF, Cunningham JP, Churchland MM.

Neuron. 2018 Feb 21;97(4):953-966.e8. doi: 10.1016/j.neuron.2018.01.004. Epub 2018 Feb 1.

11.

Balanced excitation and inhibition are required for high-capacity, noise-robust neuronal selectivity.

Rubin R, Abbott LF, Sompolinsky H.

Proc Natl Acad Sci U S A. 2017 Oct 31;114(44):E9366-E9375. doi: 10.1073/pnas.1705841114. Epub 2017 Oct 17.

12.

The complete connectome of a learning and memory centre in an insect brain.

Eichler K, Li F, Litwin-Kumar A, Park Y, Andrade I, Schneider-Mizell CM, Saumweber T, Huser A, Eschbach C, Gerber B, Fetter RD, Truman JW, Priebe CE, Abbott LF, Thum AS, Zlatic M, Cardona A.

Nature. 2017 Aug 9;548(7666):175-182. doi: 10.1038/nature23455.

13.

Representations of Novelty and Familiarity in a Mushroom Body Compartment.

Hattori D, Aso Y, Swartz KJ, Rubin GM, Abbott LF, Axel R.

Cell. 2017 May 18;169(5):956-969.e17. doi: 10.1016/j.cell.2017.04.028. Epub 2017 May 11.

14.

Neuroscience: Intelligence in the Honeybee Mushroom Body.

Caron S, Abbott LF.

Curr Biol. 2017 Mar 20;27(6):R220-R223. doi: 10.1016/j.cub.2017.02.011.

15.

Optimal Degrees of Synaptic Connectivity.

Litwin-Kumar A, Harris KD, Axel R, Sompolinsky H, Abbott LF.

Neuron. 2017 Mar 8;93(5):1153-1164.e7. doi: 10.1016/j.neuron.2017.01.030. Epub 2017 Feb 16.

16.

Tuning Curves for Arm Posture Control in Motor Cortex Are Consistent with Random Connectivity.

Lalazar H, Abbott LF, Vaadia E.

PLoS Comput Biol. 2016 May 25;12(5):e1004910. doi: 10.1371/journal.pcbi.1004910. eCollection 2016 May.

17.

Bayesian Sparse Regression Analysis Documents the Diversity of Spinal Inhibitory Interneurons.

Gabitto MI, Pakman A, Bikoff JB, Abbott LF, Jessell TM, Paninski L.

Cell. 2016 Mar 24;165(1):220-233. doi: 10.1016/j.cell.2016.01.026. Epub 2016 Mar 3.

18.

Stability and Competition in Multi-spike Models of Spike-Timing Dependent Plasticity.

Babadi B, Abbott LF.

PLoS Comput Biol. 2016 Mar 3;12(3):e1004750. doi: 10.1371/journal.pcbi.1004750. eCollection 2016 Mar.

19.

Building functional networks of spiking model neurons.

Abbott LF, DePasquale B, Memmesheimer RM.

Nat Neurosci. 2016 Mar;19(3):350-5. doi: 10.1038/nn.4241. Review.

20.

Conceptual and technical advances define a key moment for theoretical neuroscience.

Churchland AK, Abbott LF.

Nat Neurosci. 2016 Mar;19(3):348-9. doi: 10.1038/nn.4255. No abstract available.

21.

Activity Regulates the Incidence of Heteronymous Sensory-Motor Connections.

Mendelsohn AI, Simon CM, Abbott LF, Mentis GZ, Jessell TM.

Neuron. 2015 Jul 1;87(1):111-23. doi: 10.1016/j.neuron.2015.05.045. Epub 2015 Jun 18.

22.

Strength in more than numbers.

Sawtell NB, Abbott LF.

Nat Neurosci. 2015 May;18(5):614-6. doi: 10.1038/nn.4006. No abstract available.

PMID:
25919958
23.

Dynamics of random neural networks with bistable units.

Stern M, Sompolinsky H, Abbott LF.

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Dec;90(6):062710. Epub 2014 Dec 16.

24.

The neuronal architecture of the mushroom body provides a logic for associative learning.

Aso Y, Hattori D, Yu Y, Johnston RM, Iyer NA, Ngo TT, Dionne H, Abbott LF, Axel R, Tanimoto H, Rubin GM.

Elife. 2014 Dec 23;3:e04577. doi: 10.7554/eLife.04577.

25.

A computational model of motor neuron degeneration.

Le Masson G, Przedborski S, Abbott LF.

Neuron. 2014 Aug 20;83(4):975-88. doi: 10.1016/j.neuron.2014.07.001. Epub 2014 Jul 31. Erratum in: Neuron. 2014 Aug 20;83(4):990.

26.

Hierarchical control using networks trained with higher-level forward models.

Wayne G, Abbott LF.

Neural Comput. 2014 Oct;26(10):2163-93. doi: 10.1162/NECO_a_00639. Epub 2014 Jul 24.

27.

Presynaptic inhibition of spinal sensory feedback ensures smooth movement.

Fink AJ, Croce KR, Huang ZJ, Abbott LF, Jessell TM, Azim E.

Nature. 2014 May 1;509(7498):43-8. doi: 10.1038/nature13276.

28.

A temporal basis for predicting the sensory consequences of motor commands in an electric fish.

Kennedy A, Wayne G, Kaifosh P, Alviña K, Abbott LF, Sawtell NB.

Nat Neurosci. 2014 Mar;17(3):416-22. doi: 10.1038/nn.3650. Epub 2014 Feb 16.

29.

Temporal responses of C. elegans chemosensory neurons are preserved in behavioral dynamics.

Kato S, Xu Y, Cho CE, Abbott LF, Bargmann CI.

Neuron. 2014 Feb 5;81(3):616-28. doi: 10.1016/j.neuron.2013.11.020. Epub 2014 Jan 16.

30.

A complex-valued firing-rate model that approximates the dynamics of spiking networks.

Schaffer ES, Ostojic S, Abbott LF.

PLoS Comput Biol. 2013 Oct;9(10):e1003301. doi: 10.1371/journal.pcbi.1003301. Epub 2013 Oct 31.

31.

Random convergence of olfactory inputs in the Drosophila mushroom body.

Caron SJ, Ruta V, Abbott LF, Axel R.

Nature. 2013 May 2;497(7447):113-7. doi: 10.1038/nature12063. Epub 2013 Apr 24.

32.

From fixed points to chaos: three models of delayed discrimination.

Barak O, Sussillo D, Romo R, Tsodyks M, Abbott LF.

Prog Neurobiol. 2013 Apr;103:214-22. doi: 10.1016/j.pneurobio.2013.02.002. Epub 2013 Feb 21. Review.

33.

Pairwise analysis can account for network structures arising from spike-timing dependent plasticity.

Babadi B, Abbott LF.

PLoS Comput Biol. 2013;9(2):e1002906. doi: 10.1371/journal.pcbi.1002906. Epub 2013 Feb 21.

34.

Two layers of neural variability.

Churchland MM, Abbott LF.

Nat Neurosci. 2012 Nov;15(11):1472-4. doi: 10.1038/nn.3247. No abstract available.

PMID:
23103992
35.

Suppression of cortical neural variability is stimulus- and state-dependent.

White B, Abbott LF, Fiser J.

J Neurophysiol. 2012 Nov;108(9):2383-92. doi: 10.1152/jn.00723.2011. Epub 2012 Aug 15.

36.

Transferring learning from external to internal weights in echo-state networks with sparse connectivity.

Sussillo D, Abbott LF.

PLoS One. 2012;7(5):e37372. doi: 10.1371/journal.pone.0037372. Epub 2012 May 24.

37.

A computational approach enhances learning in Aplysia.

Abbott LF, Kandel ER.

Nat Neurosci. 2012 Jan 26;15(2):178-9. doi: 10.1038/nn.3030. No abstract available.

PMID:
22281713
38.

Beyond the edge of chaos: amplification and temporal integration by recurrent networks in the chaotic regime.

Toyoizumi T, Abbott LF.

Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Nov;84(5 Pt 1):051908. Epub 2011 Nov 14.

39.

Modular realignment of entorhinal grid cell activity as a basis for hippocampal remapping.

Monaco JD, Abbott LF.

J Neurosci. 2011 Jun 22;31(25):9414-25. doi: 10.1523/JNEUROSCI.1433-11.2011. Erratum in: J Neurosci. 2011 Jul 27;31(30):11096. Abbott, Larry F [corrected to Abbott, L F].

40.

Intrinsic stability of temporally shifted spike-timing dependent plasticity.

Babadi B, Abbott LF.

PLoS Comput Biol. 2010 Nov 4;6(11):e1000961. doi: 10.1371/journal.pcbi.1000961.

41.

Stimulus-dependent suppression of chaos in recurrent neural networks.

Rajan K, Abbott LF, Sompolinsky H.

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jul;82(1 Pt 1):011903. Epub 2010 Jul 7.

PMID:
20866644
42.

Generating sparse and selective third-order responses in the olfactory system of the fly.

Luo SX, Axel R, Abbott LF.

Proc Natl Acad Sci U S A. 2010 Jun 8;107(23):10713-8. doi: 10.1073/pnas.1005635107. Epub 2010 May 24.

43.

Neuropeptide feedback modifies odor-evoked dynamics in Caenorhabditis elegans olfactory neurons.

Chalasani SH, Kato S, Albrecht DR, Nakagawa T, Abbott LF, Bargmann CI.

Nat Neurosci. 2010 May;13(5):615-21. doi: 10.1038/nn.2526. Epub 2010 Apr 4.

44.

Generating coherent patterns of activity from chaotic neural networks.

Sussillo D, Abbott LF.

Neuron. 2009 Aug 27;63(4):544-57. doi: 10.1016/j.neuron.2009.07.018.

45.

Attention enhances the retrieval and stability of visuospatial and olfactory representations in the dorsal hippocampus.

Muzzio IA, Levita L, Kulkarni J, Monaco J, Kentros C, Stead M, Abbott LF, Kandel ER.

PLoS Biol. 2009 Jun 30;7(6):e1000140. doi: 10.1371/journal.pbio.1000140. Epub 2009 Jun 30. Erratum in: PLoS Biol. 2010;8(10). doi: 10.1371/annotation/5e28240c-6186-43eb-b319-79c391d9468a. PLoS Biol. 2010;8(10). doi: 10.1371/annotation/d0e5ef6f-d08b-474a-8fde-aeebeee7369d.

46.

HCN hyperpolarization-activated cation channels inhibit EPSPs by interactions with M-type K(+) channels.

George MS, Abbott LF, Siegelbaum SA.

Nat Neurosci. 2009 May;12(5):577-84. doi: 10.1038/nn.2307. Epub 2009 Apr 12.

47.

Gating multiple signals through detailed balance of excitation and inhibition in spiking networks.

Vogels TP, Abbott LF.

Nat Neurosci. 2009 Apr;12(4):483-91. doi: 10.1038/nn.2276. Epub 2009 Mar 22.

48.

Theoretical neuroscience rising.

Abbott LF.

Neuron. 2008 Nov 6;60(3):489-95. doi: 10.1016/j.neuron.2008.10.019. Review.

49.

Network model of spontaneous activity exhibiting synchronous transitions between up and down States.

Parga N, Abbott LF.

Front Neurosci. 2007 Oct 15;1(1):57-66. doi: 10.3389/neuro.01.1.1.004.2007. eCollection 2007 Nov.

50.

Variation in the large-scale organization of gene expression levels in the hippocampus relates to stable epigenetic variability in behavior.

Alter MD, Rubin DB, Ramsey K, Halpern R, Stephan DA, Abbott LF, Hen R.

PLoS One. 2008 Oct 6;3(10):e3344. doi: 10.1371/journal.pone.0003344.

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