LASCON X Program

Date:	Time:	Activity:	Coordinator(s):
Sun Jan 4	14:00 – 22:00	Arrival day	A. Roque
Mon Jan 5	09:00 – 10:00	Lecture 1. The Hodgkin-Huxley model	H. Rotstein
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 2. The cable equation	A. Roth
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 3. Reduced and simplified neuron models and phase plane analysis 1	H. Rotstein
	12:30 – 14:30	Lunch
	14:30 – 15:30	Tutorial 1. NEURON 1	A. Roth and V. Bragin
	15:30 – 15:40	Interval
	15:40 – 16:40	Tutorial 2. NEURON 2	A. Roth and V. Bragin
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Tutorial 3. Reduced and simplified neuron models and phase plane analysis tutorial 1	H. Rotstein and M. Girardi-Schappo
	18:00 – 18:10	Interval
	18:10 – 20:00	Software installation and Python support	M. Girardi-Schappo and tutors
Tue Jan 6	09:00 – 10:00	Lecture 4. Modeling ionic currents and their effects	H. Rotstein
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 5. Matching passive neuron models to data	A. Roth
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 6. Reduced and simplified neuron models and phase plane analysis 2	H. Rotstein
	12:30 – 14:30	Lunch
	14:30 – 15:30	Tutorial 4. NEURON 3	A. Roth and V. Bragin
	15:30 – 15:40	Coffee break
	15:40 – 16:40	Tutorial 5. NEURON 4	A. Roth and V. Bragin
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Tutorial 6. Reduced and simplified neuron models and phase plane analysis tutorial 2	H. Rotstein and M. Girardi-Schappo
	18:00 – 18:10	Interval
	18:10 – 19:10	Invited lecture 1. Theory of recurrent networks	A. Palmigiano
	19:10 – 20:00	Computer exercises	Tutors
Wed Jan 7	09:00 – 10:00	Lecture 7. Compartmental modeling	H. Rotstein
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 8. Modeling synapses	A. Roth
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 9. Reduced and simplified neuron models and phase plane analysis 3	H. Rotstein
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 10. Synaptic plasticity, learning and memory 1	H. Shouval
	15:30 – 15:40	Interval
	15:40 – 16:40	Tutorial 7. NEURON 5	A. Roth and V. Bragin
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Tutorial 8. Reduced and simplified neuron models and phase plane analysis tutorial 3	H. Rotstein and M. Girardi-Schappo
	18:00 – 18:10	Interval
	18:10 – 19:10	Invited lecture 2. Computing with recurrent networks	A. Palmigiano
	19:10 – 20:00	Computer exercises
Thu Jan 8	09:00 – 10:00	Lecture 11. Dendritic computation	A. Roth
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 12. Reduced and simplified neuron models and phase plane analysis 4	H. Rotstein
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 13. Synaptic plasticity, learning and memory 2	H. Shouval
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 14. Model sharing tools in computational neuroscience	A. Roth
	15:30 – 15:40	Interval
	15:40 – 16:40	Tutorial 9. Reduced and simplified neuron models and phase plane analysis tutorial 4	H. Rotstein and M. Girardi-Schappo
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Tutorial 10. Synaptic plasticity, learning and memory tutorial 1	H. Shouval
	19:00 – 22:00	Get together party 1	A. Roque
Fri Jan 9	09:00 – 10:00	Lecture 15. Networks of biophysical neuron models 1	W. Lytton
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 16. Networks of simplified neuron models  1	H. E. Plesser
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 17. Synaptic plasticity, learning and memory 3	H. Shouval
	12:30 – 14:30	Lunch
	14:30 – 15:30	Tutorial 11. NetPyNE 1	V. Bragin
	15:30 – 15:40	Interval
	15:40 – 16:40	Tutorial 12. NEST 1	H. E. Plesser
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Tutorial 13. Synaptic plasticity, learning and memory tutorial 2	H. Shouval
	18:00 – 18:10	Interval
	18:10 – 20:00	Discussion session: career perspectives in computational neuroscience	A. Roque,  lecturers and tutors
Sat Jan 10	09:00 – 10:00	Lecture 18. Networks of biophysical neuron models 2	W. Lytton
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 19. Networks of simplified neuron models  2	H. E. Plesser
	11:20 – 11:30	Interval
	11:30 – 12:30	Tutorial 14. NetPyNE 2	V. Bragin
		Free afternoon
Sun Jan 11		Day off
Mon Jan 12	09:00 – 10:00	Lecture 20. Networks of biophysical neuron models 3	W. Lytton
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 21. Networks of simplified neuron models  3	H. E. Plesser
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 22. Modeling neuron-glia interactions 1	M-L. Linne
	12:30 – 14:30	Lunch
	14:30 – 15:30	Tutorial 15. NetPyNE 3	V. Bragin
	15:30 – 15:40	Interval
	15:40 – 16:40	Tutorial 16. NEST 2	H. E. Plesser
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Tutorial 17. NEST 3	H. E. Plesser
	18:00 – 18:10	Interval
	18:10 – 19:10	Invited lecture 3. From neural dynamics to precision therapy in Parkinson’s disease: a multi-scale neocortical modeling approach	J. Jung
	19:10 – 20:00	Computer exercises	Tutors
Tue Jan 13	09:00 – 10:00	Lecture 23. Networks of biophysical neuron models 4	W. Lytton
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 24. Networks of simplified neuron models  4	H. E. Plesser
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 25. Modeling neuron-glia interactions 2	M-L. Linne
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 26. Stochastic neuronal models 1	P. Reynaud-Bouret
	15:30 – 15:40	Interval
	15:40 – 16:40	Tutorial 18. NetPyNE 4	V. Bragin
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Tutorial 19. NEST 4	H. E. Plesser
	18:00 – 18:10	Interval
	18:10 – 19:10	Invited lecture 4. Developing a biologically grounded model of the prefrontal cortex in NEST	P. Pinheiro
	19:10 – 20:00	Computer exercises	Tutors
Wed Jan 14	09:00 – 10:00	Lecture 27. Stochastic neuronal models 2	P. Reynaud-Bouret
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 28. Spike-train analysis 1	S. Grün
	11:20 – 11:30	Interval
	11:30 – 12:30	Tutorial 20. Spike-train analysis tutorial 1	J. Ito
	12:30 – 14:30	Lunch
	14:30 – 15:30	Interviews with students for projects definitions	A. Roque,  lecturers and tutors
	15:30 – 15:40	Interval
	15:40 – 16:40	Interviews with students for projects definitions	A. Roque,  lecturers and tutors
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Interviews with students for projects definitions	A. Roque,  lecturers and tutors
	18:00 – 18:10	Interval
	18:10 – 18:30	Interviews with students for projects definitions	A. Roque,  lecturers and tutors
	18:30 – 20:00	Exercises and project work	Tutors
Thu Jan 15	09:00 – 10:00	Lecture 29. Stochastic neuronal models 3	P. Reynaud-Bouret
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 30. Modeling neuron-glia interactions 3	M-L. Linne
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 31. Spike-train analysis 2	S. Grün
	12:30 – 14:30	Lunch
	14:30 – 15:30	Tutorial 21. Stochastic neuronal models tutorial	P. Reynaud-Bouret
	15:30 – 15:40	Interval
	15:40 – 16:40	Tutorial 22. Spike-train analysis tutorial 2	J. Ito
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Invited lecture 5. Extracting regularities embedded within stochastic sequences of sensorimotor events	C. Vargas
	19:00 – 22:00	Get together party 2	A. Roque
Fri Jan 16	09:00 – 10:00	Lecture 32. Spike train analysis 3	S. Grün
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 33. Modeling of electric brain signals and stimulation 1	G. Einevoll
	11:20 – 11:30	Interval
	11:30 – 12:30	Invited lecture 6. Transcranial magnetic stimulation as a window into brain function	O. Baffa
	12:30 – 14:30	Lunch
	14:30 – 15:30	Tutorial 23. Spike train analysis tutorial 3	J. Ito
	15:30 – 15:40	Interval
	15:40 – 16:40	Tutorial 24. Modeling neuron-glia interactions tutorial	M-L. Linne
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Invited lecture 7. Towards digital twins of the brain: linking simulation, data, and theory	M. Diesmann
	18:00 – 20:00	Exercises and project work	Tutors
Sat Jan 17	09:00 – 10:00	Lecture 34. Spike train analysis 4	S. Grün
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 35. Modeling of electric brain signals and stimulation 2	G. Einevoll
	11:20 – 11:30	Interval
	11:30 – 12:30	Tutorial 25. Spike train analysis tutorial 4	J. Ito
		Free afternoon
Sun Jan 18		Day off
Mon Jan 19	09:00 – 10:00	Lecture 36. Modeling of electric brain signals and stimulation 3	G. Einevoll
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 37. Firing-rate models 1	M. Girardi-Schappo
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 38. Modeling sensory processing 1	F. Iacaruso
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 39. Modeling frequency-dependent neuronal interactions 1	R. Pena
	15:30 – 15:40	Interval
	15:40 – 16:40	Tutorial 26. Modeling of electric brain signals and stimulation tutorial 1	G. Einevoll
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Invited lecture 8. TBA	A. Duarte
	18:00 – 18:10	Interval
	18:10 – 19:10	Invited lecture 9. Phase relation diversity in neuronal populations	F. Matias
	19:10 – 20:00	Exercises and project work	Tutors
Tue Jan 20	09:00 – 10:00	Lecture 40. Firing-rate models 2	M. Girardi-Schappo
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 41. Modeling sensory processing 2	F. Iacaruso
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 42. Modeling neural circuits and behavior  1	N. Cohen
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 43. Modeling frequency-dependent neuronal interactions 2	R. Pena
	15:30 – 15:40	Interval
	15:40 – 16:40	Tutorial 27. Modeling of electric brain signals and stimulation tutorial 2	G. Einevoll
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Tutorial 28. Firing-rate models tutorial	M. Girardi-Schappo
	18:00 – 18:10	Interval
	18:10 – 19:10	Invited lecture 10. The role of diversity in sensory systems: from temporal responses to circuit motifs	L. Ramirez
	19:10 – 20:00	Exercises and project work	Tutors
Wed Jan 21	09:00 – 10:00	Lecture 44. Modeling sensory processing 3	F. Iacaruso
	10:00 – 10:20	Coffe break
	10:20 – 11:20	Lecture 45. Firing-rate models 3	M. Girardi-Schappo
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 46. Modeling neural circuits and behavior 2	N. Cohen
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 47. Neuroscience and artificial intelligence 1	P. Gleeson
	15:30 – 15:40	Interval
	15:40 – 16:40	Lecture 48. Dynamics of functional connectivity 1	D. Battaglia
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Lecture 49. Modeling vocal communication 1	D. Takahashi
	18:00 – 18:10	Interval
	18:10 – 19:10	Lecture 50. Traveling waves in neural systems 1	L. Muller
	19:10 – 20:00	Exercises and project work
Thu Jan 22	09:00 – 10:00	Lecture 51. Modeling neural circuits and behavior 3	N. Cohen
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 52. Dynamics of functional connectivity 2	D. Battaglia
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 53. Neuroscience and artificial intelligence 2	P. Gleeson
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 54. Hippocampal function 1	A. Treves
	15:30 – 15:40	Interval
	15:40 – 16:40	Lecture 55. Modeling vocal communication 2	D. Takahashi
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Lecture 56. Traveling waves in neural systems 2	L. Muller
	18:00 – 18:10	Interval
	18:10 – 19:10	Invited lecture 11. Optimization principles in neural coding and computation	W. Bialek
	20:00 – 23:00	Get together party 3
Fri Jan 23	09:00 – 10:00	Lecture 57. Dynamics of functional connectivity 3	D. Battaglia
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 58. Hippocampal function 2	A. Treves
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 59. Neuroscience and artificial intelligence 3	P. Gleeson
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 60. Modeling vocal communication 3	D. Takahashi
	15:30 – 15:40	Interval
	15:40 – 16:40	Lecture 61. Traveling waves in neural systems 3	L. Muller
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Tutorial 29. Dynamics of functional connectivity tutorial	D. Battaglia
	18:00 – 18:10	Interval
	18:10 – 19:10	Invited lecture 12. A symbolic information approach to characterizing entropy and complexity in brain signals	F. Matias
	19:10 – 20:00	Exercises and project work	Tutors
Sat Jan 24		Day off
Sun Jan 25		Day off
Mon Jan 26	09:00 – 10:00	Lecture 62. Hippocampal function 3	A. Treves
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 63. Brain criticality 1	M. Copelli
	11:20 – 11:30	Interval
	11:30 – 12:30	Invited lecture 13. Neural and computational principles of sound source localization	R. Pavão
	12:30 – 14:30	Lunch
	14:30 – 15:30	Student projects progress report session	A. Roque
	15:30 – 15:40	Interval
	15:40 – 16:40	Student projects progress report session	A. Roque
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Student projects progress report session	A. Roque
	18:00 – 18:10	Interval
	18:10 – 19:10	Student projects progress report session	A. Roque
	19:10 – 20:00	Exercises and project work
Tue Jan 27	09:00 – 10:00	Lecture 64.  Brain criticality 2	M. Copelli
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 65. Modeling brain states 1	A. Destexhe
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 66. Modeling neurological disorders 1	V. Jirsa
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 67. Human movement control 1	L. Elias
	15:30 – 15:40	Interval
	15:40 – 16:40	Lecture 68. Investigating states of consciousness with computational models of large-scale brain activity 1	E. Tagliazucchi
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Invited lecture 14. Neural predictions in action: anticipating events across eye movements	G. Rohenkohl
	18:00 – 20:00	Exercises and project work	Tutors
Wed Jan 28	09:00 – 10:00	Lecture 69.  Modeling brain states 2	A. Destexhe
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 70. Modeling neurological disorders 2	V. Jirsa
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 71. Human movement control 2	L. Elias
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 72. Brain criticality 3	M. Copelli
	15:30 – 15:40	Interval
	15:40 – 16:40	Lecture 73. Investigating states of consciousness with computational models of large-scale brain activity 2	E. Tagliazucchi
	16:40 – 17:00	Coffee break
	17:00 – 18:00	Invited lecture 15. Large scale models from EEG data to understand brain function in different scenarios	G. Castellano
	18:00 – 20:00	Exercises and project work	Tutors
Thu Jan 29	09:00 – 10:00	Lecture 74. Modeling brain states 3	A. Destexhe
	10:00 – 10:20	Coffee break
	10:20 – 11:20	Lecture 75. Modeling neurological disorders 3	V. Jirsa
	11:20 – 11:30	Interval
	11:30 – 12:30	Lecture 76. Human movement control 3	L. Elias
	12:30 – 14:30	Lunch
	14:30 – 15:30	Lecture 77. Investigating states of consciousness with computational models of large-scale brain activity 3	E. Tagliazucchi
	15:30 – 15:40	Interval
	15:40 – 16:40	Exercises and project work	Tutors
	16:40 – 17:00	Coffee break
	17:00 – 20:00	Exercises and project work	Tutors
Fri Jan 30	09:00 – 09:20	Project presentation 1.
	09:20 – 09:40	Project presentation 2.
	09:40 – 10:00	Project presentation 3.
	10:00 – 10:20	Coffee break
	10:20 – 10:40	Project presentation 4.
	10:40– 11:00	Project presentation 5.
	11:00 – 11:20	Project presentation 6.
	11:20 – 11:30	Interval.
	11:30 – 11:50	Project presentation 7.
	11:50 – 12:10	Project presentation 8.
	12:10 – 12:30	Project presentation 9.
	12:30 – 14:30	Lunch
	14:30 – 14:50	Project presentation 10.
	14:50 – 15:10	Project presentation 11.
	15:10 – 15:30	Project presentation 12.
	15:30 – 15:40	Interval
	15:40 – 16:00	Project presentation 13.
	16:00 – 16:20	Project presentation 14.
	16:20 – 16:40	Project presentation 15.
	16:40 – 17:00	Coffee break
	17:00 – 17:20	Project presentation 16.
	17:20 – 17:40	Project presentation 17.
	17:40 – 18:00	Project presentation 18.
	18:00 – 18:10	Interval
	18:10 – 18:30	Project presentation 19.
	18:30 – 18:50	Project presentation 20.
	18:50 – 19:00	Interval
	19:00 – 20:00	Closing remarks	A. Roque
	21:00 –	Final party	A. Roque
Sat Jan 31	09:00 –	Return home