Learning expectation in insects: A recurrent spiking neural model for spatio-temporal representation
暂无分享,去创建一个
[1] Ronald L. Davis,et al. Insect olfactory memory in time and space , 2006, Current Opinion in Neurobiology.
[2] Anna Dornhaus,et al. Individual and collective cognition in ants and other insects ( Hymenoptera : Formicidae ) , 2008 .
[3] Paolo Arena,et al. An insect brain inspired neural model for object representation and expectation , 2011, The 2011 International Joint Conference on Neural Networks.
[4] J. Rothstein,et al. Therapeutic horizons for amyotrophic lateral sclerosis , 1996, Current Opinion in Neurobiology.
[5] P. Arena,et al. Implementation of a drosophila-inspired orientation model on the Eye-Ris platform , 2010, 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010).
[6] W. Gronenberg,et al. Multisensory Convergence in the Mushroom Bodies of Ants and Bees , 2004, Acta biologica Hungarica.
[7] Mandyam V. Srinivasan,et al. Small brains, smart minds: vision, perception, navigation and 'cognition' in insects , 2006 .
[8] Luigi Fortuna,et al. Learning Anticipation via Spiking Networks: Application to Navigation Control , 2009, IEEE Transactions on Neural Networks.
[9] S. Sachse,et al. Role of inhibition for temporal and spatial odor representation in olfactory output neurons: a calcium imaging study. , 2002, Journal of neurophysiology.
[10] R. Menzel,et al. Fast dynamics of odor rate coding in the insect antennal lobe , 2010, 1101.0271.
[11] L. Abbott,et al. Cortical Development and Remapping through Spike Timing-Dependent Plasticity , 2001, Neuron.
[12] R. Wehner. Spatial Vision in Arthropods , 1981 .
[13] Bertram Gerber,et al. Olfactory learning in individually assayed Drosophila larvae. , 2003, Learning & memory.
[14] Glenn C. Turner,et al. Oscillations and Sparsening of Odor Representations in the Mushroom Body , 2002, Science.
[15] M. Heisenberg,et al. Visual learning in individually assayed Drosophila larvae , 2004, Journal of Experimental Biology.
[16] Barbara Webb,et al. Biorobotics: Methods and Applications , 2002 .
[17] R. Menzel,et al. A new ascending sensory tract to the calyces of the honeybee mushroom body, the subesophageal‐calycal tract , 2003, The Journal of comparative neurology.
[18] Marie E. Burns,et al. Enhanced Arrestin Facilitates Recovery and Protects Rods Lacking Rhodopsin Phosphorylation , 2009, Current Biology.
[19] Eugene M. Izhikevich,et al. Simple model of spiking neurons , 2003, IEEE Trans. Neural Networks.
[20] M Heisenberg,et al. Associative odor learning in Drosophila abolished by chemical ablation of mushroom bodies. , 1994, Science.
[21] P. Arena,et al. Simple sensors provide inputs for cognitive robots , 2009, IEEE Instrumentation & Measurement Magazine.
[22] J. Niven,et al. Are Bigger Brains Better? , 2009, Current Biology.
[23] Luigi Fortuna,et al. The winnerless competition paradigm in cellular nonlinear networks: Models and applications , 2009, Int. J. Circuit Theory Appl..
[24] Ramón Huerta,et al. Fast and Robust Learning by Reinforcement Signals: Explorations in the Insect Brain , 2009, Neural Computation.
[25] Nicolas Y. Masse,et al. Olfactory Information Processing in Drosophila , 2009, Current Biology.
[26] Wei Zhang,et al. Functional feedback from mushroom bodies to antennal lobes in the Drosophila olfactory pathway , 2010, Proceedings of the National Academy of Sciences.
[27] Ramón Huerta,et al. Decoding Temporal Information Through Slow Lateral Excitation in the Olfactory System of Insects , 2003, Journal of Computational Neuroscience.
[28] Randolf Menzel,et al. Dimensions of cognition in an insect, the honeybee. , 2006, Behavioral and cognitive neuroscience reviews.
[29] Paolo Arena,et al. Insect inspired unsupervised learning for tactic and phobic behavior enhancement in a hybrid robot , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[30] Ramón Huerta,et al. Dynamical encoding by networks of competing neuron groups: winnerless competition. , 2001 .
[31] B. Swinderen,et al. Attention-like processes in Drosophila require short-term memory genes. , 2007 .
[32] L. Abbott,et al. Competitive Hebbian learning through spike-timing-dependent synaptic plasticity , 2000, Nature Neuroscience.
[33] A Guo,et al. Choice Behavior of Drosophila Facing Contradictory Visual Cues , 2001, Science.
[34] M. Srinivasan,et al. Visual motor computations in insects. , 2004, Annual review of neuroscience.