Anubhuti Goel, Dean V. Buonomano  Neuron 

Slides:



Advertisements
Similar presentations
Timing and Specificity of Feed-Forward Inhibition within the LGN
Advertisements

Lixia Gao, Kevin Kostlan, Yunyan Wang, Xiaoqin Wang  Neuron 
Volume 75, Issue 1, Pages (July 2012)
Jason R. Chalifoux, Adam G. Carter  Neuron 
Volume 97, Issue 1, Pages e5 (January 2018)
A Source for Feature-Based Attention in the Prefrontal Cortex
Volume 80, Issue 2, Pages (October 2013)
Araceli Ramirez-Cardenas, Maria Moskaleva, Andreas Nieder 
Vincent Jacob, Julie Le Cam, Valérie Ego-Stengel, Daniel E. Shulz 
Volume 58, Issue 3, Pages (May 2008)
Endocannabinoids Control the Induction of Cerebellar LTD
David Dupret, Joseph O’Neill, Jozsef Csicsvari  Neuron 
Volume 56, Issue 6, Pages (December 2007)
The Generation of Direction Selectivity in the Auditory System
Bassam V. Atallah, Massimo Scanziani  Neuron 
Volume 94, Issue 4, Pages e7 (May 2017)
Preceding Inhibition Silences Layer 6 Neurons in Auditory Cortex
Hai-Yan He, Wanhua Shen, Masaki Hiramoto, Hollis T. Cline  Neuron 
Ben Scholl, Xiang Gao, Michael Wehr  Neuron 
Inducing Gamma Oscillations and Precise Spike Synchrony by Operant Conditioning via Brain-Machine Interface  Ben Engelhard, Nofar Ozeri, Zvi Israel, Hagai.
Vincent B. McGinty, Antonio Rangel, William T. Newsome  Neuron 
Feature- and Order-Based Timing Representations in the Frontal Cortex
Divisive Normalization in Olfactory Population Codes
A Role for the Superior Colliculus in Decision Criteria
Volume 49, Issue 3, Pages (February 2006)
Volume 80, Issue 1, Pages (October 2013)
Cortical Mechanisms of Smooth Eye Movements Revealed by Dynamic Covariations of Neural and Behavioral Responses  David Schoppik, Katherine I. Nagel, Stephen.
Shane R. Crandall, Scott J. Cruikshank, Barry W. Connors  Neuron 
Kinetics of Releasable Synaptic Vesicles and Their Plastic Changes at Hippocampal Mossy Fiber Synapses  Mitsuharu Midorikawa, Takeshi Sakaba  Neuron 
Volume 71, Issue 4, Pages (August 2011)
Volume 95, Issue 1, Pages e3 (July 2017)
Jianing Yu, David Ferster  Neuron 
Volume 90, Issue 1, Pages (April 2016)
Volume 93, Issue 2, Pages (January 2017)
Volume 72, Issue 5, Pages (December 2011)
Spike Timing-Dependent LTP/LTD Mediates Visual Experience-Dependent Plasticity in a Developing Retinotectal System  Yangling Mu, Mu-ming Poo  Neuron 
Visually Cued Action Timing in the Primary Visual Cortex
SK2 Channel Modulation Contributes to Compartment-Specific Dendritic Plasticity in Cerebellar Purkinje Cells  Gen Ohtsuki, Claire Piochon, John P. Adelman,
Anubhuti Goel, Dean V. Buonomano  Neuron 
Volume 97, Issue 1, Pages e5 (January 2018)
Functional Microcircuit Recruited during Retrieval of Object Association Memory in Monkey Perirhinal Cortex  Toshiyuki Hirabayashi, Daigo Takeuchi, Keita.
Volume 87, Issue 2, Pages (July 2015)
Kevin Wood Bieri, Katelyn N. Bobbitt, Laura Lee Colgin  Neuron 
From Dendrite to Soma: Dynamic Routing of Inhibition by Complementary Interneuron Microcircuits in Olfactory Cortex  Caleb C.A. Stokes, Jeffry S. Isaacson 
Georg B. Keller, Tobias Bonhoeffer, Mark Hübener  Neuron 
Ana Parabucki, Ilan Lampl  Cell Reports 
Uma R. Karmarkar, Dean V. Buonomano  Neuron 
Sharon C. Furtak, Omar J. Ahmed, Rebecca D. Burwell  Neuron 
Effects of Long-Term Visual Experience on Responses of Distinct Classes of Single Units in Inferior Temporal Cortex  Luke Woloszyn, David L. Sheinberg 
Plasticity of Burst Firing Induced by Synergistic Activation of Metabotropic Glutamate and Acetylcholine Receptors  Shannon J. Moore, Donald C. Cooper,
Receptive-Field Modification in Rat Visual Cortex Induced by Paired Visual Stimulation and Single-Cell Spiking  C. Daniel Meliza, Yang Dan  Neuron  Volume.
Volume 91, Issue 6, Pages (September 2016)
Xiangying Meng, Joseph P.Y. Kao, Hey-Kyoung Lee, Patrick O. Kanold 
Volume 78, Issue 6, Pages (June 2013)
Inhibitory Actions Unified by Network Integration
Stephan D. Brenowitz, Wade G. Regehr  Neuron 
Luc Estebanez, Diana Hoffmann, Birgit C. Voigt, James F.A. Poulet 
Gabe J. Murphy, Fred Rieke  Neuron 
Serotonergic Modulation of Sensory Representation in a Central Multisensory Circuit Is Pathway Specific  Zheng-Quan Tang, Laurence O. Trussell  Cell Reports 
Traces of Experience in the Lateral Entorhinal Cortex
Encoding of Oscillations by Axonal Bursts in Inferior Olive Neurons
Volume 58, Issue 1, Pages (April 2008)
Transient Slow Gamma Synchrony Underlies Hippocampal Memory Replay
Bilal Haider, David P.A. Schulz, Michael Häusser, Matteo Carandini 
Differential Effects of Excitatory and Inhibitory Plasticity on Synaptically Driven Neuronal Input-Output Functions  Tiago P. Carvalho, Dean V. Buonomano 
Lixia Gao, Kevin Kostlan, Yunyan Wang, Xiaoqin Wang  Neuron 
Volume 95, Issue 5, Pages e4 (August 2017)
Eric A. Finkel, Daniel H. O’Connor  Neuron 
A Temporal Channel for Information in Sparse Sensory Coding
Volume 75, Issue 1, Pages (July 2012)
Presentation transcript:

Temporal Interval Learning in Cortical Cultures Is Encoded in Intrinsic Network Dynamics  Anubhuti Goel, Dean V. Buonomano  Neuron  Volume 91, Issue 2, Pages 320-327 (July 2016) DOI: 10.1016/j.neuron.2016.05.042 Copyright © 2016 Elsevier Inc. Terms and Conditions

Figure 1 The Temporal Profile of Network Activity Is Dependent on Training Interval (A) Slices were trained for 4 hr by pairing electrical stimulation of the paired (Pr) pathway followed by optical stimulation, at an interval of either 100 ms (top left panel), 250 ms (middle), or 500 ms (right). Inset: schematic of implanted electrodes and recording site. Five traces from a cell in each group in response to the Pr pathway after training (bottom panels). (B) Raw data across all cells and trials (5 traces from each cell) from the 100 (left panel), 250 (middle panel), and 500 ms (right panel) groups. Voltagegram traces are normalized to their own peak and sorted according to latency of the first polysynaptic peak (i.e., the first peak after the initial response) if present. Voltage is represented on a color scale where black is the minimum and white the maximum. Arrows represent the time of the test stimulus, and dashed lines are presented to provide a better comparison of the timing across different panels. (C) Mean ± SEM (shading) of all traces (that exhibited polysynaptic activity) from the three training-interval groups. Arrows indicate the time of light delivery during training. Note that the timing of the polysynaptic peak in each waveform increases with the training interval. (D) Cumulative distributions of polysynaptic event times. (E) The group means of median polysynaptic event times of each cell. Neuron 2016 91, 320-327DOI: (10.1016/j.neuron.2016.05.042) Copyright © 2016 Elsevier Inc. Terms and Conditions

Figure 2 Simultaneous Recording of ChR+ and ChR− Cells Suggests that Temporally Specific Plasticity of Neural Dynamics Is Network-wide (A) Slices were trained with a 100 ms interval. Sample traces from the same simultaneously recorded ChR+ and ChR− cells in response to Pr (left) and Np (right) pathway. Inset: schematic of implanted electrodes and recording site. Blue shading indicates the time window in which optical stimulation occurred during training. (B) Voltagegrams of Pr evoked responses recorded simultaneously from ChR+ (left panel) and ChR- cells (right panel). Traces in both panels are sorted according to first polysynaptic event in the ChR+ cells. Middle panel: cumulative distribution of event times from the Pr pathway between the ChR+ and ChR− cells. (C) Average median event times of ChR+ and ChR− cells. (D) Mean correlation coefficients of the activity between the ChR+ and ChR− cells in response to the Pr (blue) and Np (cyan) pathways. There was no significant difference in correlation between pathways when the data were shuffled (ShPr and ShNp; see Supplemental Experimental Procedures). Neuron 2016 91, 320-327DOI: (10.1016/j.neuron.2016.05.042) Copyright © 2016 Elsevier Inc. Terms and Conditions

Figure 3 Emergence of Interval-Specific Network Dynamics during the Course of Training Slices were trained with either a 100 (left) or 500 (right) ms interval on the rig. Activity was monitored during training using cell-attached recordings. Each line of the plot represents the Pr-pathway evoked spikes of a cell as a PSTH (normalized and sorted within each panel) see Supplemental Experimental Procedures). (A1) Pr-evoked responses before the start of training (Pre). Middle panel shows sample traces from a single cell included in the PSTH (row 4) (A2) Pr-evoked responses after 1 hr of training (post 1 hr). Middle panel: cumulative distribution of maximum peak of PSTH for the 100 versus 500 ms trained group at the 1 hr time point (K-S test, p = 0.04). (A3) Evoked responses after 2 hr of training (Post 2hr). Inset: K-S test, p = 0.002. (B) Number of polysynaptic spikes evoked by the Pr pathway in the 100 ms and 500 ms trained group. (C) Group means of the median polysynaptic spike times of each cell. (D) Increase in light evoked spike probability during training. The first point (LE) is the probability of light alone eliciting a spike before training. Subsequent points reflect the probability of a light evoked spike during training trials (i.e., light preceded by electrical stimulation). Note that between the 350–359 and 370–379 trials there was a testing block. Neuron 2016 91, 320-327DOI: (10.1016/j.neuron.2016.05.042) Copyright © 2016 Elsevier Inc. Terms and Conditions

Figure 4 Interval-Specific Shifts in the Balance of Excitation-Inhibition (A and B) Slices were trained with a 250 ms interval for 4 hr and whole-cell recordings were obtained in voltage clamp mode. Sample traces of Pr→ChR+ (A) and Np→ChR+ (B) evoked responses to a single test pulse following training. IPSCs are shown in red and EPSCs in blue. Gray shading indicates the time window (150–350 ms) around the trained interval of 250 ms. (C) E/I ratio at 3 different time windows (50–150 ms, 150–350 ms, 350–550 ms) for the Pr→ChR and Np→ChR responses. Neuron 2016 91, 320-327DOI: (10.1016/j.neuron.2016.05.042) Copyright © 2016 Elsevier Inc. Terms and Conditions