Brain Forum, presented by Mark J. Schnitzer, HHMI / Stanford Univ.

Similar documents
UNLOCKING THE MYSTERIES OF THE BRAIN

Analysis of in-vivo extracellular recordings. Ryan Morrill Bootcamp 9/10/2014

Supplementary Figure 1. ACE robotic platform. A. Overview of the rig setup showing major hardware components of ACE (Automatic single Cell

A tale of a thousand electrodes and one - Combining multielectrode array with patch clamp

Supplementary Figure 1 Information on transgenic mouse models and their recording and optogenetic equipment. (a) 108 (b-c) (d) (e) (f) (g)

Systems Neuroscience November 29, Memory

Supplementary Figure 1. Basic properties of compound EPSPs at

Charlie Taylor, PhD CpTaylor Consulting Chelsea, MI, USA

Basics of Computational Neuroscience: Neurons and Synapses to Networks

Processing and Plasticity in Rodent Somatosensory Cortex

Implantable Microelectronic Devices

Awake-behaving recordings in mice during fear conditioning. Eric H. Chang, Ph.D. Goldsmith Postdoctoral Fellow

Supplementary Information Supplementary Table 1. Quantitative features of EC neuron dendrites

Nature Methods: doi: /nmeth Supplementary Figure 1. Activity in turtle dorsal cortex is sparse.

Cortical Map Plasticity. Gerald Finnerty Dept Basic and Clinical Neuroscience

Voluntary Movements. Lu Chen, Ph.D. MCB, UC Berkeley. Outline. Organization of the motor cortex (somatotopic) Corticospinal projection

Transitions between dierent synchronous ring modes using synaptic depression

SUPPLEMENTARY INFORMATION. Supplementary Figure 1

Neural ensemble dynamics underlying a long-term associative memory

Timing and the cerebellum (and the VOR) Neurophysiology of systems 2010

Nature Neuroscience: doi: /nn Supplementary Figure 1. Large-scale calcium imaging in vivo.

How we study the brain: a survey of methods used in neuroscience

Biomarkers in Schizophrenia

Multiphoton Imaging of Neuronal Activity in vivo in Behavioral Paradigms

Activity-Dependent Development II April 25, 2007 Mu-ming Poo

Navigation: Inside the Hippocampus

SUPPLEMENTARY INFORMATION

Brain and Cognitive Sciences 9.96 Experimental Methods of Tetrode Array Neurophysiology IAP 2001

Guided Reading Activities

Supplementary Figure 1: Kv7 currents in neonatal CA1 neurons measured with the classic M- current voltage-clamp protocol.

Basal Ganglia Anatomy, Physiology, and Function. NS201c

Computational Cognitive Neuroscience (CCN)

Restoring Communication and Mobility

Nature Neuroscience: doi: /nn Supplementary Figure 1. Lick response during the delayed Go versus No-Go task.

Chapter 6: Hippocampal Function In Cognition. From Mechanisms of Memory, second edition By J. David Sweatt, Ph.D.

The control of spiking by synaptic input in striatal and pallidal neurons

Informationsverarbeitung im zerebralen Cortex

Cognitive Function Test. NOR & spatial NOR task. Introduction. Novel Object Recognition (NOR) Estrogen Receptor (ER) in Brain

The basics of tdcs: Marom Bikson. The City College of New York of CUNY

CSE511 Brain & Memory Modeling Lect 22,24,25: Memory Systems

Hippocampal mechanisms of memory and cognition. Matthew Wilson Departments of Brain and Cognitive Sciences and Biology MIT

EXTRACELLULAR RECORDINGS OF SPIKES

Neocortex. Cortical Structures in the Brain. Neocortex Facts. Laminar Organization. Bark-like (cortical) structures: Shepherd (2004) Chapter 12

Υπολογιστική διερεύνηση των νευρικών μηχανισμών μνήμης και μάθησης

Supplementary Figure 1

Supplemental Information. A Visual-Cue-Dependent Memory Circuit. for Place Navigation

Memory retention the synaptic stability versus plasticity dilemma

Neuronal Dynamics: Computational Neuroscience of Single Neurons

Beyond fmri. Joe Kable Summer Workshop on Decision Neuroscience August 21, 2009

Lack of GPR88 enhances medium spiny neuron activity and alters. motor- and cue- dependent behaviors

SfN 2016 science program

Introduction to Electrophysiology

Embryological origin of thalamus

Light-evoked hyperpolarization and silencing of neurons by conjugated polymers

Nature Neuroscience: doi: /nn Supplementary Figure 1. ACx plasticity is required for fear conditioning.

Supplementary Materials for

Brain Computer Interface. Mina Mikhail

Information Processing & Storage in the Brain

An integrative approach for analyzing hundreds of neurons in task performing mice using wide-field calcium imaging

Evaluating the Effect of Spiking Network Parameters on Polychronization

Axon initial segment position changes CA1 pyramidal neuron excitability

Nature Neuroscience: doi: /nn Supplementary Figure 1. Trial structure for go/no-go behavior

Unique functional properties of somatostatin-expressing GABAergic neurons in mouse barrel cortex

Memory, Attention, and Decision-Making

BIPN 140 Problem Set 6

Hippocampal ensemble dynamics timestamp events in long-term memory

Introduction to Computational Neuroscience

Synaptic plasticity and hippocampal memory

Resonant synchronization of heterogeneous inhibitory networks

Ch 8. Learning and Memory

BIPN 140 Problem Set 6

Basal Ganglia. Introduction. Basal Ganglia at a Glance. Role of the BG

Ch 8. Learning and Memory

Rolls,E.T. (2016) Cerebral Cortex: Principles of Operation. Oxford University Press.

Dendritic Mechanisms of Phase Precession in Hippocampal CA1 Pyramidal Neurons

Thalamo-Cortical Relationships Ultrastructure of Thalamic Synaptic Glomerulus

Generation of directional selectivity by individual thin dendrites in neocortical pyramidal neurons.

Prof. Greg Francis 7/31/15

Zhu et al, page 1. Supplementary Figures

Modeling of Hippocampal Behavior

Suppl. Information Supplementary Figure 1. Strategy/latency analysis of individual mice during maze learning. a,

Part 11: Mechanisms of Learning

Theories of memory. Memory & brain Cellular bases of learning & memory. Epileptic patient Temporal lobectomy Amnesia

The Nervous System. Biological School. Neuroanatomy. How does a Neuron fire? Acetylcholine (ACH) TYPES OF NEUROTRANSMITTERS

Neurorobotics, and brain-machine interfaces. Oct. 10 th, 2006.

The search for a hippocampal engram

Network Dynamics of Basal Forebrain and Parietal Cortex Neurons. David Tingley 6/15/2012

Cellular Neurobiology BIPN140

Lecture overview. What hypothesis to test in the fly? Quantitative data collection Visual physiology conventions ( Methods )

Using Multi-electrode Array Recordings to detect unrecognized electrical events in epilepsy

Jan 10: Neurons and the Brain

Nature Neuroscience: doi: /nn Supplementary Figure 1

Limbic system outline

COGNITIVE SCIENCE 107A. Hippocampus. Jaime A. Pineda, Ph.D.

Construction of the Visual Image

CISC 3250 Systems Neuroscience

The neurolinguistic toolbox Jonathan R. Brennan. Introduction to Neurolinguistics, LSA2017 1

Feedback Education and Neuroscience. Pankaj Sah

NEOCORTICAL CIRCUITS. specifications

Transcription:

Imaging large-scale ensemble neural codes underlying learning and long-term memory Portable microscopy for mice Brain Forum, presented by Mark J. Schnitzer, HHMI / Stanford Univ. Imaging CA1, amygdala cell dynamics

What are biological substrates of long-term memories? 1. Synaptic substrates E.g. Long-term changes in synaptic weight 2. Cellular substrates E.g. Long-term changes in firing properties 3. Network level substrates Remains poorly explored due to lack of tools

Need a combination of methods to monitor long-term network dynamics 1) Imaging of neurons lying deep in brain tissue + 2) Time-lapse tracking of cells over multiple days + 3) Ensemble neural Ca 2+ imaging in freely behaving mice = Long-term tracking of neural codes and dynamics

1) Implantable microendoscopes for imaging deep tissues at ~1 µm resolution Jung & Schnitzer, Optics Lett. 2003; Jung et al., J. Neurophysiol., 2004

Time-lapse imaging deep in the live brain Feb 2011

Turnover of CA1 dendritic spines in the live brain Day 1 Day 4 Day 7 Day 10 2 µm Day 13 Day 16 Day 19 Day 22 Nature (2015)

Turnover of CA1 spines is consistent with ~1 month duration of hippocampal memory Day 1 Day 4 Day 7 Day 10 2 µm Day 13 Day 16 Day 19 Day 22 Nature (2015)

How to track Ca 2+ dynamics of CA1 neural ensembles in behaving mice? Approach: Miniature, digital fluorescence microscope Has multiple advantages: Mouse can behave freely Compatible with most behaviors Fast frame rates, up to ~100 Hz Broad field of view; recordings from ~1000 cells (20 to 50 times more cells than electrical recordings in mice)

The integrated microscope is ~2 grams in mass and based on semiconductor optoelectronics

The integrated microscope is ~2 grams in mass and based on semiconductor optoelectronics Patents and patents pending, Inscopix Inc

Time-lapse imaging in freely moving mice with a 2.0 g miniature microscope Integrated microscope Serial line readout CMOS camera Microendoscope Filters LED 5 mm Hippocampus BLA Nature Methods (2008) Nature Methods (2011) Nature Neuroscience (2013) objective Kunal Ghosh Laurie Burns Eric Cocker Abbas El Gamal

Mice behave naturally during digital imaging of activity in large neural ensembles

Mini-microscope provides statistical power for computational studies of neural coding dorsal striatum

Ensemble substrates for information storage: Imaging CA1 neural activity in behaving mice Yaniv Ziv Nature Neuroscience (2013) Laurie Burns

Visualizing Ca 2+ dynamics in CA1 pyramidal neurons in behaving mice Nature Neuroscience, 2013

~700 CA1 neurons can be tracked concurrently Nature Neuroscience (2013)

The latest integrated microscope can image >1000 cells in behaving mice

1202 CA1 neurons in one mouse

CA1 hippocampal place cells imaged optically in freely behaving mice

Probing the stability of the hippocampal representation of space over weeks Place field Yaniv Ziv Laurie Burns

A complete spatial map on each day Laurie Burns

But the place cells involved slowly turnover Laurie Burns

When they recur in the place-coding ensemble, cells retain same place fields Nature Neuroscience (2013) Laurie Burns

CA1 place fields are spatially invariant but temporally stochastic Nature Neuroscience (2013) Laurie Burns

Decoding the mouse s position using CA1 ensemble activity. Nature Neuroscience, 2013 Lacey Kitch

yields an Ensemble substrate of memory Lacey Kitch

We are now decoding the neural basis for correct and incorrect memory recall Yaniv Ziv Lacey Kitch

Next-generation technologies for the study of brain circuit dynamics Mark J. Schnitzer, HHMI / Stanford University

Imaging via two probes concurrently to examine brain area interactions? guide tube guide tube Implantation of one or more optical guide tubes Nature Neuroscience, 2014

Op#cal needles can be densely packed to image mul#ple brain areas 10 mm

The Duopus is a two-armed microscope that can image two areas concurrently Jerome Lecoq Nature Neuroscience, 2014

The Duopus can inspect either nearby or distal pairs of brain areas visual area V1 motor area M1 somatosensory area S1 Parvalbumin interneurons labeled red with tdtomato visual area LM

Example: CA1 hippocampus and frontal cortex imaged in tandem

Duopus Ca 2+ -imaging of visual areas V1 and LM in behaving mice Jerome Lecoq

The Duopus allows Ca 2+ -imaging in two brain areas in active mice 100 µm

Are we on the brink of voltageimaging in freely behaving animals? Mini-microscope Voltage sensor Fluorescence trace NIH BRAIN Initiative grant

FRET-opsin voltage sensors detect spikes with high SNR using milliwatts of light Yiyang Gong MacQmOrange MacQmCitrine Y. Gong et. al. Nature Communications (2014).

Archaerhodopsin acts as a voltage sensor by altering its light absorption H + extracellular retinal V H + H + intracellular Kralj et. al. Nature Methods 9, 90-95 (2012). Bacteriorhodopsin, Alberts. Molecular Biology of the Maclaurin et. al. PNAS 110, 5939-44 (2013). Cell 28/06/16 38

Single spike sensitivity in awake mice Yiyang Gong Science (2015)

200 µs spike timing precision Yiyang Gong Science (2015)

Dual FRET-opsin and electrical recordings of neural spiking in the intact fly brain Cheng Huang Illumination: 20 mw. mm -2 Science (2015)

FRET-opsin voltage imaging reveals sub-threshold voltage dynamics in fly brain Cheng Huang Illumination: 20 mw. mm -2 Science (2015)

Are we on the brink of voltageimaging in freely behaving animals? Mini-microscope Voltage sensor Fluorescence trace NIH BRAIN Initiative grant

Thank you! Pablo Jercog Jerome Lecoq Jesse Marshall Jones Parker Jin Zhong Li Maggie Carr Larkin Francois Grenier Lacey Kitch HHMI NINDS, NIMH, NIH BRAIN DARPA

Thank you!