Giancarlo La Camera physics   -   Neuroscience

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Publications show all | article | proceeding | review | 2008 | 2007 | 2006 | 2004 | 2003 | 2002 | 1.  The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs.    Giugliano M, La Camera G, Fusi S, Senn W.    BioloBiol Cybern. 2008 Nov;99(4-5):303-18. Epub 2008 Nov 15.     2.  The response of cortical neurons to in vivo-like input current: theory and experiment : I. Noisy inputs with stationary statistics.    La Camera G, Giugliano M, Senn W, Fusi S.    Biol Cybern. 2008 Nov;99(4-5):279-301. Epub 2008 Nov 5.     3.  Measuring and modeling the interaction among reward size, delay to reward and satiation level on motivation in monkeys.    Minamimoto T, La Camera G, Richmond BJ.    J Neurophysiol. 2008 Nov 5. [Epub ahead of print]     4.  Modeling the violation of reward maximization and invariance in reinforcement schedules.    La Camera G, Richmond BJ.    PLoS Comput Biol. 2008 Aug 8;4(8):e1000131.     5.  Knowing without doing.    Lerchner A, La Camera G, Richmond B.    Nat Neurosci. 2007 Jan;10(1):15-7     6.  Multiple time scales of temporal response in pyramidal and fast spiking cortical neurons.    La Camera G*, Rauch A*, Thurbon D, Lüscher HR, Senn W, Fusi S.    J Neurophysiol. 2006 Dec;96(6):3448-64. Epub 2006 Jun 28.     7.  Mean field and capacity in realistic networks of spiking neurons storing sparsely coded random memories.    Curti E, Mongillo G, La Camera G, Amit DJ.    Neural Comput. 2004 Dec;16(12):2597-637.     8.  Minimal models of adapted neuronal response to in vivo-like input currents.    La Camera G, Rauch A, Lüscher HR, Senn W, Fusi S.    Neural Comput. 2004 Oct;16(10):2101-24.     9.  Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization    G. La Camera, W. Senn, S. Fusi    Neurocomputing 2004; 58-60:253-258     10.  Equivalent networks of conductance- and current driven neurons    G. La Camera, W. Senn, S. Fusi    In: O.Kaynak (Ed.): Suppl. Proceedings of ICANN/ICONIP, 2003, LCNS 2714, pp. 449-452, 2003 (Springer Verlag)     11.  Neocortical pyramidal cells respond as integrate-and-fire neurons to in vivo-like input currents.    Rauch A*, La Camera G*, Luscher HR, Senn W, Fusi S.    J Neurophysiol. 2003 Sep;90(3):1598-612. Epub 2003 May 15.     12.  Firing rate adaptation without losing sensitivity to input fluctuations    G. La Camera, A. Rauch, W. Senn, H.-R. Lüscher, S. Fusi    In: J.R. Dorronsoro (Ed.): Proceedings of ICANN 2002, LNCS 2415, pp. 180-185, 2002 (Springer-Verlag)     13.  Non-monotonic current-to-rate response function in a novel integrate-and-fire model neuron.    M. Giugliano, G. La Camera, A. Rauch, H.-R. Lüscher, S. Fusi    In: J.R. Dorronsoro (Ed.): Proceedings of ICANN 2002, LNCS 2415, pp. 141-146, 2002 (Springer-Verlag)     14.  When NMDA receptor conductances increase inter-spike interval variability    G. La Camera, S. Fusi, W. Senn, A. Rauch, H.-R. Lüscher    In: J.R. Dorronsoro (Ed.): Proceedings of ICANN 2002, LNCS 2415, pp. 235-240, 2002 (Springer-Verlag)       | ScienXe categories | home | register | login | features | support | ScienXe.org - the first worldwide network of academics, scientists and students. Copyright 2005-2024 Scimetrica. All Rights Reserved.