Review – Objectives Transitioning 4-5

Slides:



Advertisements
Similar presentations
What is the neural code? Puchalla et al., What is the neural code? Encoding: how does a stimulus cause the pattern of responses? what are the responses.
Advertisements

Electrophysiology of neurons. Some things to remember…
Electrophysiology. Electroencephalography Electrical potential is usually measured at many sites on the head surface More is sometimes better.
Cross-cortical Coherence during Effector Decision Making Chess Stetson Andersen Laboratory Caltech Sloan-Swartz Meeting 2009/07/28.
TRANSMISSION FUNDAMENTALS Review
Electrophysiology.
The spatial extent of cortical synchronization: Modulation by internal and external factors Adrian M Bartlett, BA Cog. Sci. Perception & Plasticity Lab.
Subdural Grid Intracranial electrodes typically cannot be used in human studies It is possible to record from the cortical surface Subdural grid on surface.
Spike-triggering stimulus features stimulus X(t) multidimensional decision function spike output Y(t) x1x1 x2x2 x3x3 f1f1 f2f2 f3f3 Functional models of.
1 Mixers  Mixers plays an important role in both the transmitter and the receiver  Mixers are used for down frequency conversion in the receiver  Mixers.
Functional Brain Signal Processing: Current Trends and Future Directions Kaushik Majumdar Indian Statistical Institute Bangalore Center
Vibrationdata 1 Unit 9 White Noise FFT. Vibrationdata 2 Fourier Transform, Sine Function A Fourier transform will give the exact magnitude and frequency.
 Difficult to measure consciousness.  A state of consciousness is referred to as a hypothetical construct.  I.e., a concept used to describe something.
Cycle 6: Oscillations and Synchrony
Figure 3. Log-log plot of simulated oscillating phantom, assuming a Gaussian-shaped field. Field constants a 1 =a 2 =0.1. The data initially plateau, then.
For starters - pick up the file pebmass.PDW from the H:Drive. Put it on your G:/Drive and open this sheet in PsiPlot.
Review – Objectives Transitioning 4-5 Spikes can be detected from many neurons near the electrode tip. What are some ways to determine which spikes belong.
Image Restoration: Noise Models By Dr. Rajeev Srivastava.
Analysis, Design, and Control of Movable Neuro-Probes Z. Nenadic, E. Branchaud, R. Andersen, J. Pezaris, W. Collins, and J. Burdick B. Greger, B. Pesaran.
All slides © S. J. Luck, except as indicated in the notes sections of individual slides Slides may be used for nonprofit educational purposes if this copyright.
Date of download: 6/28/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Teamwork Matters: Coordinated Neuronal Activity in.
Electrophysiology. Neurons are Electrical Remember that Neurons have electrically charged membranes they also rapidly discharge and recharge those membranes.
Biomathematics seminar Application of Fourier to Bioinformatics Girolamo Giudice.
Zatorre paper Presented by MaryKate Chester
Lesson 24: Introduction to Filters
Chapter 2: The Research Enterprise in Psychology
OPERATING SYSTEMS CS 3502 Fall 2017
Fall 2004 Perceptron CS478 - Machine Learning.
Brain Electrophysiological Signal Processing: Postprocessing
NATURE NEUROSCIENCE 2007 Coordinated memory replay in the visual cortex and hippocampus during sleep Daoyun Ji & Matthew A Wilson Department of Brain.
Watermarking with Side Information
Cycle 4 Methods Electrical Signals Dendritic membrane potentials
Examples of ALO Results
Neural Oscillations Continued
CONCEPTS OF HYPOTHESIS TESTING
Capturing the Secret Dances in the Brain
Volume 75, Issue 3, Pages (August 2012)
Volume 75, Issue 3, Pages (August 2012)
LIVING OR NON-LIVING???.
Perceptual Echoes at 10 Hz in the Human Brain
Frequency-specific network connectivity increases underlie accurate spatiotemporal memory retrieval Andrew J Watrous, Nitin Tandon, Chris R Conner, Thomas.
Organizational Patterns
Volume 53, Issue 3, Pages (February 2007)
Carlos D. Brody, J.J. Hopfield  Neuron 
Cycle 10: Brain-state dependence
7.1 Introduction to Fourier Transforms
Sampling Distributions
Synchrony & Perception
Kenji Mizuseki, György Buzsáki  Cell Reports 
Aryeh Hai Taub, Rita Perets, Eilat Kahana, Rony Paz  Neuron 
Cortical Mechanisms of Smooth Eye Movements Revealed by Dynamic Covariations of Neural and Behavioral Responses  David Schoppik, Katherine I. Nagel, Stephen.
Woochang Lim1 and Sang-Yoon Kim2
Zhiyi Chi, Daniel Margoliash  Neuron 
Thomas Akam, Dimitri M. Kullmann  Neuron 
REM Sleep Reorganizes Hippocampal Excitability
Uma R. Karmarkar, Dean V. Buonomano  Neuron 
Patrick Kaifosh, Attila Losonczy  Neuron 
Serial, Covert Shifts of Attention during Visual Search Are Reflected by the Frontal Eye Fields and Correlated with Population Oscillations  Timothy J.
Xiaomo Chen, Marc Zirnsak, Tirin Moore  Cell Reports 
Relating Hippocampal Circuitry to Function
Jozsef Csicsvari, Hajime Hirase, Akira Mamiya, György Buzsáki  Neuron 
Place, space and memory cells
Stefano Panzeri, Jakob H. Macke, Joachim Gross, Christoph Kayser 
Lecturer Dr. Veronika Alhanaqtah
Transient Slow Gamma Synchrony Underlies Hippocampal Memory Replay
Supratim Ray, John H.R. Maunsell  Neuron 
Neurons spike at a consistent phase of the oscillations in the LFP
Toward Functional Classification of Neuronal Types
Sleep Spindle Refractoriness Segregates Periods of Memory Reactivation
Patrick Kaifosh, Attila Losonczy  Neuron 
Presentation transcript:

Review – Objectives Transitioning 4-5 Spikes can be detected from many neurons near the electrode tip. What are some ways to determine which spikes belong to which neurons? Describe how a tetrode helps isolate spikes Selection bias can occur when lowering an electrode into a target region. Name two kinds of selection bias. The inter-spike interval of a putative ‘sorted’ cell can be used as an indicator of the quality of spike sorting. How does it work, and when might it fail? 10:32

Review – Objectives Transitioning 4-5 What does a Fourier analysis do to a time-varying signal, like LFPs or ECoG? (Why would a neuroscientist use it?) Describe an assumption that is made about the signal you process with Fourier analysis. (p.105 and footnote) Name the two parameters that are orthogonal (i.e. independent) in a Fourier analysis. (Related to previous question) Describe a solution that allows both of the independent parameters to be characterized (p. 106) 10:40

Review – Objectives Cycle 5 Give the term for the magnitude of a given frequency band – one output of a Fourier transform. An increase in magnitude of the Fourier transform can arise from two separate changes in the signal. Name them. (this relates to the independence question) Brain oscillations occur at specific frequency bands during specific behavioural states. Collectively, what relationship do the observed bands have? Shown in figure 5.1 List several reasons the brain might have so many oscillations (p. 114) 11:00

Review – Objectives Cycle 5 An EEG signal shows a power-law relationship between what two parameters? Define (or draw) white pink and brown noise and describe ways in which they differ. Select the type of noise associated with cortical activity, and give and example of when that activity deviates from ‘pink’. 11:00

Cycle 6: Oscillations and Synchrony What is an oscillator? Name two types of oscillators Components of oscillations Define differences between types of oscillators: Oscillators can be considered at the neuron or neural population level. Give a description at each level.

Cycle 6: Oscillations and Synchrony How could resonance at varying frequencies be accomplished? p. 144 What is the low-information problem and what is a neuron’s default state, giving examples. Define Synchrony, including the concept of a ‘time constant’. How does synchrony differ across classes of oscillators?

Cycle 6: Oscillations and Synchrony Define stochastic resonance, providing two ‘scenarios’ of how it could operate in the brain. Describe features of cell assemblies, and why their action may be useful in encoding patterns. Describe how synchrony is efficient

Cycle 7: Sleep Oscillations and Memory Consolidation Define memory consolidation and give an example of ‘interference’. Describe 5 sleep stages. Name an associated oscillation for each stage except for the very first stage entered as you fall asleep. Describe the association between certain sleep oscillations and memory consolidation; include one manipulation of an oscillation that caused a change in subsequent memory.