neural circuits
play

neural circuits Lennart Oettl 2.11.2018 Oxytocin Discovered by - PowerPoint PPT Presentation

Dec 22, 2022 •288 likes •664 views

Oxytocin modulation of neural circuits Lennart Oettl 2.11.2018 Oxytocin Discovered by Sir Henry H. Dale in 1906 Sir Henry Dale, 1904 Wellcome Physiological Laboratories Oxytocin Sir Henry Dale, 1904 Wellcome Physiological Laboratories

  1. Oxytocin modulation of neural circuits Lennart Oettl 2.11.2018

  2. Oxytocin • Discovered by Sir Henry H. Dale in 1906 Sir Henry Dale, 1904 Wellcome Physiological Laboratories

  3. Oxytocin Sir Henry Dale, 1904 Wellcome Physiological Laboratories

  4. Oxytocin • Discovered by Sir Henry H. Dale in 1906 • nine-amino-acid neuropeptide, (sequence elucidated in 1953) Sir Henry Dale, 1904 • Greek meaning: ‘‘quick birth’’ • Mainly known for its physiological roles : uterine contractions during parturition and milk ejection. Wellcome Physiological Laboratories

  5. Oxytocin • Discovered by Sir Henry H. Dale in 1906 • nine-amino-acid neuropeptide, (sequence elucidated in 1953) • Greek meaning: ‘‘quick birth’’ • Mainly known for its physiological roles : uterine contractions during parturition Sir Henry Dale and Otto Loewi and milk ejection.

  6. Ludwig & Leng, 2006 • synthesized in the paraventricular (PVN) and supraoptic (SON) nuclei of the hypothalamus • two types of OT neurons (magnocellular and parvocellular neurons) have been identified (Swanson and Kuypers, 1980)

  7. • classical view: • magnocellular OT neurons -> posterior pituitary (release OT into the blood circulation) • parvocellular OT neurons -> exclusively to hindbrain areas, where local release of OT modulates vital body functions.

  8. magnocellular parvocellular

  9. magnocellular parvocellular Althammer & Grinevich 2017

  10. More than 2 types of Oxytocin neurons? Romanov et al 2016

  11. More than 2 types of Oxytocin neurons? Romanov et al 2016

  12. Distribution of oxytocin fibers in the brain Knobloch et al 2012

  13. Distribution of oxytocin receptors in the brain Mitre et al 2016

  14. How does OT reach its targets in the brain? • volume transmission (release from hypothalamic dendrites followed by diffusion in the extracellular space to other brain areas) • local axonal release

  15. Oxytocin Modulation of Behaviour Pedersen et al 1982

  16. Oxytocin Modulation of Behaviour Kendrick et al., Science, 1992

  17. Oxytocin Modulation of Behaviour Kendrick et al., Science, 1992

  18. Oxytocin Modulation of Behaviour Prairie vole: monogamous Montane vole: polygamous (Prairie vole) Insel & Young 2001

  19. Oxytocin Modulation of Human Behaviour

  20. Oxytocin Modulation of Human Behaviour Young & Barrett 2014

  21. Oxytocin Modulation of Human Behaviour Kirsch et al 2005 Young & Barrett 2014

  22. Oxytocin Modulation of Human Behaviour Young & Barrett 2014

  23. Oxytocin Modulation of Human Behaviour Nagasawa et al 2015

  24. Oxytocin Modulation of Human Behaviour Nagasawa et al 2015

  25. Oxytocin Modulation of Human Behaviour

  26. Oxytocin Modulation of Neural Circuits CA1 pyramidal neuron Non-pyramidal neuron Muhlethaler et al 1984

  27. Oxytocin Modulation of Neural Circuits Owen et al 2013

  28. Oxytocin Modulation of Neural Circuits CA2 pyramidal cells (K+ channel) Tirko et al 2018

  29. Oxytocin Modulation of Neural Circuits Nakajima et al 2014

  30. Oxytocin Modulation of Sensory Circuits Marlin et al 2015

  31. Oxytocin Modulation of Sensory Circuits Marlin et al 2015

  32. Oxytocin Modulation of Sensory Circuits Walum & Young 2018 Grinevich & Stoop 2018 Oettl et al 2016

  33. Oxytocin Modulation of Sensory Circuits Oettl et al 2016

  34. Oxytocin Modulation of Sensory Circuits

  35. Oxytocin Modulation of Sensory Circuits Zheng et al 2014

  36. Outstanding questions • Not much is known about the natural release of oxytocin in response to natural stimuli Hung et al 2017

  37. Conclusion • Oxytocin might play a general role in Walum & Young 2018 facilitating the flow of social information across multiple brain regions • (E-I balance, SNR)

Recommend

Reconstructing functional neural circuits with single cell resolution Statistical methods for

Reconstructing functional neural circuits with single cell resolution Statistical methods for

Reconstructing functional neural circuits with single cell resolution Statistical methods for inferring neural network topology from large scale neural activity imaging data Yuriy Mishchenko Janelia Research Campus, HHMI 11/19/2015 Prior

1.05k views • 86 slides
Neural Circuits Underlie Brain Function interneuron inter- neuron pyramidal neurons Neural

Neural Circuits Underlie Brain Function interneuron inter- neuron pyramidal neurons Neural

Neural Circuits Underlie Brain Function interneuron inter- neuron pyramidal neurons Neural Circuits Underlie Brain Function interneuron inter- neuron Synapses : the basic pyramidal neurons computational units of the brain Neural

1.32k views • 120 slides
Computa(on through dynamics Using recurrent neural networks to unveil mechanism in neural

Computa(on through dynamics Using recurrent neural networks to unveil mechanism in neural

Computa(on through dynamics Using recurrent neural networks to unveil mechanism in neural circuits David Sussillo with Valerio Mante and Bill Newsome Table of contents Introduc(on Training recurrent neural networks(RNNs) Understanding how

1.57k views • 105 slides
Information Flow in Neural Circuits? Praveen Venkatesh with Sanghamitra Dutta and Pulkit Grover

Information Flow in Neural Circuits? Praveen Venkatesh with Sanghamitra Dutta and Pulkit Grover

How else can we define Information Flow in Neural Circuits? Praveen Venkatesh with Sanghamitra Dutta and Pulkit Grover Dept. of Electrical & Computer Engineering Carnegie Mellon University How should we define Information Flow in Neural

783 views • 28 slides
Neural Circuits of Motivational Valence Processing BBRF Webinar August 14, 2018 Kay M. Tye, PhD

Neural Circuits of Motivational Valence Processing BBRF Webinar August 14, 2018 Kay M. Tye, PhD

Neural Circuits of Motivational Valence Processing BBRF Webinar August 14, 2018 Kay M. Tye, PhD Associate Professor Picower Institute for Learning and Memory Dept. of Brain and Cognitive Sciences, MIT -Moving to the Salk Institute in 2019-

1.16k views • 93 slides
11/11/2011 Reading L44. Neural Simmons and Young (2010) Chapter 7: pp. 104-125. Borst A, Euler

11/11/2011 Reading L44. Neural Simmons and Young (2010) Chapter 7: pp. 104-125. Borst A, Euler

11/11/2011 Reading L44. Neural Simmons and Young (2010) Chapter 7: pp. 104-125. Borst A, Euler T. Seeing things in motion: models, Circuits for circuits, and mechanisms. Neuron. 2011 Sep Motion Detection 22;71(6):974-94. Friday, 11/11/11

512 views • 5 slides
Neural circuits for touch-induced locomotion in C. elegans Nikhil Bhatla January 9, 2013 MIT IAP

Neural circuits for touch-induced locomotion in C. elegans Nikhil Bhatla January 9, 2013 MIT IAP

Neural circuits for touch-induced locomotion in C. elegans Nikhil Bhatla January 9, 2013 MIT IAP This is a C. elegans worm 2 mm Adult hermaphrodite Video speed is real-time The connectome of C. elegans is known Each worm has exactly 302

310 views • 29 slides
Action Systems - neural circuits for motor control Andy Murray SWC Room 284 (L2 West) Lecture

Action Systems - neural circuits for motor control Andy Murray SWC Room 284 (L2 West) Lecture

Action Systems - neural circuits for motor control Andy Murray SWC Room 284 (L2 West) Lecture overview Mon 12 th Motor systems overview Andy Murray Tues 13 th Pattern generation Peter Latham Fri 16 th Computational control Maneesh Sahani

968 views • 51 slides
Probabilistic and Logistic Circuits: A New Synthesis of Logic and Machine Learning Guy Van den

Probabilistic and Logistic Circuits: A New Synthesis of Logic and Machine Learning Guy Van den

Probabilistic and Logistic Circuits: A New Synthesis of Logic and Machine Learning Guy Van den Broeck RelationalAI ArrowCon Feb 5, 2019 Which method to choose? Classical AI Methods: Neural Networks: Hungry $25? ? Restaura Sleep? nt?

819 views • 56 slides
Sequential Circuits Combinational circuits : current input output Sequential circuit :

Sequential Circuits Combinational circuits : current input output Sequential circuit :

14:332:231 DIGITAL LOGIC DESIGN Ivan Marsic, Rutgers University Electrical & Computer Engineering Fall 2013 Lecture #15: Sequential Circuits: Latches Sequential Circuits Combinational circuits : current input output Sequential

483 views • 15 slides
Lecture 14: Sequential Circuits, FSM Todays topics: Sequential circuits Finite

Lecture 14: Sequential Circuits, FSM Todays topics: Sequential circuits Finite

Lecture 14: Sequential Circuits, FSM Todays topics: Sequential circuits Finite state machines 1 Sequential Circuits Until now, circuits were combinational when inputs change, the outputs change after a while (time = logic

435 views • 19 slides
Lecture 13: Sequential Circuits, FSM Todays topics: Sequential circuits Finite

Lecture 13: Sequential Circuits, FSM Todays topics: Sequential circuits Finite

Lecture 13: Sequential Circuits, FSM Todays topics: Sequential circuits Finite state machines 1 Clocks A microprocessor is composed of many different circuits that are operating simultaneously if each circuit X takes in

449 views • 20 slides
Neural Information Retrieval Wassila Lalouani 1 Plan Neural network architectures Neural

Neural Information Retrieval Wassila Lalouani 1 Plan Neural network architectures Neural

Neural Information Retrieval Wassila Lalouani 1 Plan Neural network architectures Neural IR tasks Neural IR architecture Feature Representations Neural IR query auto completion Neural IR query suggestion Neural IR document

1.48k views • 18 slides
Stevenage Circuits Group Incorporating: Stevenage Circuits Tru-Lon Printed Circuits March 2011

Stevenage Circuits Group Incorporating: Stevenage Circuits Tru-Lon Printed Circuits March 2011

Stevenage Circuits Group Incorporating: Stevenage Circuits Tru-Lon Printed Circuits March 2011 The Organisation Stevenage Circuits formed 1971 Tru-Lon integrated into the Stevenage site March 2011 Group privately owned 11m

1.26k views • 67 slides
Learning Logistic Circuits Yitao Liang, Guy Van den Broeck January 31, 2019 Which model to

Learning Logistic Circuits Yitao Liang, Guy Van den Broeck January 31, 2019 Which model to

Learning Logistic Circuits Yitao Liang, Guy Van den Broeck January 31, 2019 Which model to choose Neural Networks: Classical AI Methods: Hungry? $25? Sleep? Restaurant? Black Box Clear Modeling Assumption Good performance on

650 views • 20 slides
From Small to Tiny: How to Co-design ML Models, Computational Precision and Circuits in the

From Small to Tiny: How to Co-design ML Models, Computational Precision and Circuits in the

From Small to Tiny: How to Co-design ML Models, Computational Precision and Circuits in the Energy-Accuracy Trade-off Space Marian Verhelst Marian.Verhelst@kuleuven.be 1 Embedded Deep Neural Networks Keyword and Augmented Face and owner

368 views • 25 slides
Neural circuits for olfactory chemotaxis Nikhil Bhatla January 14, 2013 MIT IAP C. elegans move

Neural circuits for olfactory chemotaxis Nikhil Bhatla January 14, 2013 MIT IAP C. elegans move

Neural circuits for olfactory chemotaxis Nikhil Bhatla January 14, 2013 MIT IAP C. elegans move to the peak of a chemical gradient (chemotaxis) 3 worms explore without 3 worms explore with chemical gradient chemical gradient (peak at center)

630 views • 28 slides
8 Neural MT 2: Attentional Neural MT In the past chapter, we described a simple model for neural

8 Neural MT 2: Attentional Neural MT In the past chapter, we described a simple model for neural

8 Neural MT 2: Attentional Neural MT In the past chapter, we described a simple model for neural machine translation, which uses an encoder to encode sentences as a fixed-length vector. However, in some ways, this view is overly simplified, and

635 views • 9 slides
Deep Convolutional Neural Nets COMPSCI 371D Machine Learning COMPSCI 371D Machine

Deep Convolutional Neural Nets COMPSCI 371D Machine Learning COMPSCI 371D Machine

Deep Convolutional Neural Nets COMPSCI 371D Machine Learning COMPSCI 371D Machine Learning Deep Convolutional Neural Nets 1 / 25 Outline 1 Why Neural Networks? 2 Circuits 3 Neurons, Layers, and Networks 4 Correlation and Convolution 5

287 views • 25 slides
RC Circuits RC Circuits Charging At t=0, capacitance is uncharged and C Q=0 (initial

RC Circuits RC Circuits Charging At t=0, capacitance is uncharged and C Q=0 (initial

RC Circuits RC Circuits Charging At t=0, capacitance is uncharged and C Q=0 (initial condition). At t=0, switched is closed, it the capacitor has no charge, it behaves like a conductor and I= /R. R After the capacitor is

539 views • 12 slides
An introduction to FPGA-based acceleration of neural networks Marco Pagani 1 What is an FPGA?

An introduction to FPGA-based acceleration of neural networks Marco Pagani 1 What is an FPGA?

An introduction to FPGA-based acceleration of neural networks Marco Pagani 1 What is an FPGA? Field-programmable gate array (FPGA) are integrated circuits designed to be con fi gured after manufacturing for implementing arbitrary logic

429 views • 15 slides
Transient response of RC and RL circuits ENGR 40M lecture notes July 26, 2017 Chuan-Zheng Lee,

Transient response of RC and RL circuits ENGR 40M lecture notes July 26, 2017 Chuan-Zheng Lee,

Transient response of RC and RL circuits ENGR 40M lecture notes July 26, 2017 Chuan-Zheng Lee, Stanford University Resistorcapacitor (RC) and resistorinductor (RL) circuits are the two types of first-order circuits: circuits either one

181 views • 6 slides
Propagating Error Backward Hyperparameters for Neural Networks } Multi-layer (deep) neural

Propagating Error Backward Hyperparameters for Neural Networks } Multi-layer (deep) neural

Learning in Neural Networks w 1,3 w 3,5 1 3 5 w w 1,4 3,6 w w 2,3 4,5 2 4 6 w w 2,4 4,6 Class #18: Back-Propagation; } A neural network can learn a classification function by Tuning Hyper-Parameters adjusting its weights to

259 views • 4 slides
CPSC 121: Models of Computation Module 8: Sequential Circuits Module 8: Sequential Circuits By

CPSC 121: Models of Computation Module 8: Sequential Circuits Module 8: Sequential Circuits By

CPSC 121: Models of Computation Module 8: Sequential Circuits Module 8: Sequential Circuits By the start of class, you should be able to Trace the operation of a DFA (deterministic finite- state automaton) represented as a diagram on an input,

656 views • 39 slides

More recommend