Dendritic processing of spontaneous neuronal sequences for one-shot learning

Spontaneous firing sequences colloquially called “preplay” are fundamental features of hippocampal network physiology. Preplay sequences have been hypothesized to participate in hippocampal learning and memory, but such functional roles and their potential cellular mechanisms remain unexplored. Here, we report a computational model based on the functional propagation of preplay sequences in the CA3 neuronal network. The model instantiates two synaptic pathways in CA3 neurons, one for proximal dendrite-somatic interactions to generate intrinsic preplay sequences and the other for distal dendritic processing of extrinsic sensory signals. The core dendritic computation is the maximization of matching between patterned activities in the two compartments through nonlinear spike generation. The model performs robust one-shot learning with long-term stability and independence that are modulated by the plasticity of dendrite-targeted inhibition. This model demonstrates that learning models combined with dendritic computations can enable preplay sequences to act as templates for rapid and stable memory formation.

[1]  Judit K. Makara,et al.  Variable Dendritic Integration in Hippocampal CA3 Pyramidal Neurons , 2013, Neuron.

[2]  B L McNaughton,et al.  Path Integration and Cognitive Mapping in a Continuous Attractor Neural Network Model , 1997, The Journal of Neuroscience.

[3]  Alois Schlögl,et al.  Synaptic mechanisms of pattern completion in the hippocampal CA3 network , 2016, Science.

[4]  D. Hassabis,et al.  Hippocampal place cells construct reward related sequences through unexplored space , 2015, eLife.

[5]  B. McNaughton,et al.  Reactivation of hippocampal ensemble memories during sleep. , 1994, Science.

[6]  Susan L. Andersen,et al.  Juvenile methylphenidate reduces prefrontal cortex plasticity via D3 receptor and BDNF in adulthood , 2014, Front. Synaptic Neurosci..

[7]  Susumu Tonegawa,et al.  Hippocampal CA3 Output Is Crucial for Ripple-Associated Reactivation and Consolidation of Memory , 2009, Neuron.

[8]  M. Quirk,et al.  Hippocampal CA3 NMDA Receptors Are Crucial for Memory Acquisition of One-Time Experience , 2003, Neuron.

[9]  Eckehard G. Steinbach,et al.  Fully Automatic and Frame-Accurate Video Synchronization Using Bitrate Sequences , 2013, IEEE Transactions on Multimedia.

[10]  Henning Sprekeler,et al.  Inhibitory synaptic plasticity: spike timing-dependence and putative network function , 2013, Front. Neural Circuits.

[11]  Kamran Diba,et al.  Activity dynamics and behavioral correlates of CA3 and CA1 hippocampal pyramidal neurons , 2012, Hippocampus.

[12]  Thomas J. Wills,et al.  Development of the Hippocampal Cognitive Map in Preweanling Rats , 2010, Science.

[13]  W. Senn,et al.  Learning by the Dendritic Prediction of Somatic Spiking , 2014, Neuron.

[14]  S. Romani,et al.  Theta sequences are essential for internally generated hippocampal firing fields , 2014, Nature Neuroscience.

[15]  Chenglin Miao,et al.  Place cells in the hippocampus: Eleven maps for eleven rooms , 2014, Proceedings of the National Academy of Sciences.

[16]  M. Hasselmo The role of acetylcholine in learning and memory , 2006, Current Opinion in Neurobiology.

[17]  Stefano Fusi,et al.  Computational principles of synaptic memory consolidation , 2016, Nature Neuroscience.

[18]  Christina Müller,et al.  Dendritic inhibition mediated by O-LM and bistratified interneurons in the hippocampus , 2014, Front. Synaptic Neurosci..

[19]  Madan Dubey,et al.  Lithium storage mechanisms in purpurin based organic lithium ion battery electrodes , 2012, Scientific Reports.

[20]  Christof Koch,et al.  Physiology of Layer 5 Pyramidal Neurons in Mouse Primary Visual Cortex: Coincidence Detection through Bursting , 2015, PLoS Comput. Biol..

[21]  Benjamin A. Dunn,et al.  Grid cells require excitatory drive from the hippocampus , 2013, Nature Neuroscience.

[22]  G. Buzsáki,et al.  Selective suppression of hippocampal ripples impairs spatial memory , 2009, Nature Neuroscience.

[23]  Xiao-Jing Wang,et al.  A dendritic disinhibitory circuit mechanism for pathway-specific gating , 2016, Nature Communications.

[24]  P. Dayan,et al.  The Involvement of Recurrent Connections in Area CA3 in Establishing the Properties of Place Fields: a Model , 2000, The Journal of Neuroscience.

[25]  Bruce L. McNaughton,et al.  An Information-Theoretic Approach to Deciphering the Hippocampal Code , 1992, NIPS.

[26]  Naoyuki Sato,et al.  Memory Encoding by Theta Phase Precession in the Hippocampal Network , 2003, Neural Computation.

[27]  David J. Foster,et al.  Hippocampal theta sequences , 2007, Hippocampus.

[28]  P. Dayan,et al.  A mathematical model explains saturating axon guidance responses to molecular gradients , 2016, eLife.

[29]  Sachin S. Deshmukh,et al.  Functional correlates of the lateral and medial entorhinal cortex: objects, path integration and local–global reference frames , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[30]  E. Oja Simplified neuron model as a principal component analyzer , 1982, Journal of mathematical biology.

[31]  M. Wilson,et al.  Dentate Gyrus NMDA Receptors Mediate Rapid Pattern Separation in the Hippocampal Network , 2007, Science.

[32]  E. Bienenstock,et al.  Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[33]  T. Kuner,et al.  Modulation of Presynaptic Release Probability by the Vertebrate-Specific Protein Mover , 2015, Neuron.

[34]  Eric Hand,et al.  ECONOMIC GEOLOGY. Massive helium fields found in rift zone of Tanzania. , 2016, Science.

[35]  P. J. Sjöström,et al.  A Cooperative Switch Determines the Sign of Synaptic Plasticity in Distal Dendrites of Neocortical Pyramidal Neurons , 2006, Neuron.

[36]  Margaret F. Carr,et al.  Hippocampal replay in the awake state: a potential substrate for memory consolidation and retrieval , 2011, Nature Neuroscience.

[37]  Andrew Philippides,et al.  Dual Coding with STDP in a Spiking Recurrent Neural Network Model of the Hippocampus , 2010, PLoS Comput. Biol..

[38]  L. F. Abbott,et al.  A Model of Spatial Map Formation in the Hippocampus of the Rat , 1999, Neural Computation.

[39]  Attila Losonczy,et al.  Mnemonic Functions for Nonlinear Dendritic Integration in Hippocampal Pyramidal Circuits , 2016, Neuron.

[40]  Albert K. Lee,et al.  Memory of Sequential Experience in the Hippocampus during Slow Wave Sleep , 2002, Neuron.

[41]  W. Gan,et al.  Branch-specific dendritic Ca2+ spikes cause persistent synaptic plasticity , 2015, Nature.

[42]  Edvard I Moser,et al.  Development of the Spatial Representation System in the Rat , 2010, Science.

[43]  Rogier Min,et al.  Non-Hebbian Long-Term Potentiation of Inhibitory Synapses in the Thalamus , 2013, The Journal of Neuroscience.

[44]  György Buzsáki,et al.  Physiological Properties and Behavioral Correlates of Hippocampal Granule Cells and Mossy Cells , 2017, Neuron.

[45]  George Dragoi,et al.  Distinct preplay of multiple novel spatial experiences in the rat , 2013, Proceedings of the National Academy of Sciences.

[46]  Wulfram Gerstner,et al.  Learning Navigational Maps Through Potentiation and Modulation of Hippocampal Place Cells , 2004, Journal of Computational Neuroscience.

[47]  Peter Jonas,et al.  Active dendrites support efficient initiation of dendritic spikes in hippocampal CA3 pyramidal neurons , 2012, Nature Neuroscience.

[48]  Delia Silva,et al.  Trajectory events across hippocampal place-cells require previous experience , 2015, Nature Neuroscience.

[49]  M. Quirk,et al.  Requirement for Hippocampal CA3 NMDA Receptors in Associative Memory Recall , 2002, Science.

[50]  Sven Jahnke,et al.  A Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples , 2015, The Journal of Neuroscience.

[51]  M. Witter Intrinsic and extrinsic wiring of CA3: indications for connectional heterogeneity. , 2007, Learning & memory.

[52]  Nathan Intrator,et al.  Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions , 1992, Neural Networks.

[53]  Andres D. Grosmark,et al.  Diversity in neural firing dynamics supports both rigid and learned hippocampal sequences , 2016, Science.

[54]  Terrence J. Sejnowski,et al.  ASSOCIATIVE MEMORY AND HIPPOCAMPAL PLACE CELLS , 1995 .

[55]  H. Hotelling Relations Between Two Sets of Variates , 1936 .

[56]  Yumiko Yoshimura,et al.  State-Dependent Bidirectional Modification of Somatic Inhibition in Neocortical Pyramidal Cells , 2008, Neuron.

[57]  M. Larkum A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex , 2013, Trends in Neurosciences.

[58]  Frances S. Chance,et al.  Erratum: Orthogonal micro-organization of orientation and spatial frequency in primate primary visual cortex , 2013, Nature Neuroscience.

[59]  Tomoki Fukai,et al.  Optimal spike-based communication in excitable networks with strong-sparse and weak-dense links , 2012, Scientific Reports.

[60]  J. Magee,et al.  Pathway Interactions and Synaptic Plasticity in the Dendritic Tuft Regions of CA1 Pyramidal Neurons , 2009, Neuron.

[61]  Susumu Tonegawa,et al.  Conjunctive input processing drives feature selectivity in hippocampal CA1 neurons , 2015, Nature Neuroscience.

[62]  Maria Diamantaki,et al.  Sparse activity of identified dentate granule cells during spatial exploration , 2016, eLife.

[63]  G. Dragoi,et al.  Preplay of future place cell sequences by hippocampal cellular assemblies , 2011, Nature.

[64]  S. Romani,et al.  Short‐term plasticity based network model of place cells dynamics , 2015, Hippocampus.

[65]  N. Matsuki,et al.  Interpyramid spike transmission stabilizes the sparseness of recurrent network activity. , 2013, Cerebral cortex.

[66]  N. Brunel,et al.  Plasticity of directional place fields in a model of rodent CA3 , 1998, Hippocampus.

[67]  Steven J. Middleton,et al.  Silencing CA3 disrupts temporal coding in the CA1 ensemble , 2016, Nature Neuroscience.

[68]  Mubarak Shah,et al.  Multimodal Analysis for Identification and Segmentation of Moving-Sounding Objects , 2013, IEEE Transactions on Multimedia.

[69]  Masao Ito Error detection and representation in the olivo-cerebellar system , 2013, Front. Neural Circuits.

[70]  T. Fukai,et al.  A Lognormal Recurrent Network Model for Burst Generation during Hippocampal Sharp Waves , 2015, The Journal of Neuroscience.

[71]  James J. Knierim,et al.  frames global reference - cortex: objects, path integration and local Functional correlates of the lateral and medial entorhinal , 2014 .