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. Structural learning by the brain	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 01. The impact of structural topology on information-theoretic characteristics of spiking neural networks	Pedro Muradas; Florencia Altschuler; Karen Cunha
		09:20 – 09:40	Project 02. Dopamine modulation of astrocyte calcium dynamics in the tripartite synapse	Ediline Nguessap; Angela Lama; Maria José Granados Rodríguez
		09:40 – 10:00	Project 03. Informational thresholds and pathological forgetting in associative memory networks with synaptic decay and unlearning	Gabrielli Pietralla; Ana Paula Morresi; Solange Avila Driussi
		10:00 – 10:20	Coffee break
		10:20 – 10:40	Project 04. Sleep-dependent modulation of seizure dynamics: a thalamocortical neural mass approach using the Epileptor and The Virtual Brain	Arthur Ribeiro Rodrigues; Leonardo Costa; Ana Augusta Rangel
		10:40– 11:00	Project 05. Markov chains for modelling stochastic voltage dependent activity of ion channels based on voltage clamp single channel data	Lucila Capurro; David Meneses; Mateo Vidal
		11:00 – 11:20	Project 06. Extending a computational model of Behavioral Time Scale Synaptic Plasticity (BTSP)	Federico Szmidt; Gabriele Muller; Lindsey Knowles
		11:20 – 11:30	Interval.
		11:30 – 11:50	Project 07. A biophysical modeling study of cortical stimulation	Claudia Ivette Ledesma Ramirez; Cristina Natalia Espinosa Martínez; Sabrina de Figueiredo Souto
		11:50 – 12:10	Project 08. In silico replication of a CA3 microcircuit dynamics in schizophrenia	Giovanna Bortolini; Lucas Donaire; Maria Amanda Pérez-de-Oliveira
		12:10 – 12:30	Project 09. Maximum entropy in critical spiking networks: a complexity-preserving alternative to standard inference	Yago Ramos; Anindita Basu; Ariane Moura
		12:30 – 14:30	Lunch
		14:30 – 14:50	Project 10. A network model of how the representational structure of a memory is transformed over time: from segregation to integration	Luciano Cavallino; Guillermo Meriño; María Carla Navas
		14:50 – 15:10	Project 11. Emergent functional complexity in the Brunel network: a non-extensive entropy perspective	Ana Luiza S. Tavares; Rafael Fernando Gigante; Yansen Wang
		15:10 – 15:30	Project 12. State-dependent effects of focal stroke lesions on whole-brain functional connectivity	Alessandra Latorre; Gonzalo Spelzini; Alonso G. Caneppa
		15:30 – 15:40	Interval
		15:40 – 16:00	Project 13. Simulating calcium imaging and testing spiking deconvolution procedures	Arthur Pires Bueno; Kádmo Laxa; Gabriel Mendonça de Queiroz
		16:00 – 16:20	Project 14. Learning and choice in a biophysical hippocampus microcircuit model	Andrés Aracena Ocampo; Leonardo Gugé; Matías García
		16:20 – 16:40	Project 15. Synaptic modulation by flickering light in the gamma frequency range	Amanda Youssef Campos; Luan Zimmermann Bortoluzzi; Lucas Eduardo Bentivoglio
		16:40 – 17:00	Coffee break
		17:00 – 17:20	Project 16. Characterizing brain states from empirical and whole-brain model data using 1/f slope and information-theoretic approaches	Ty Roachford; Pedro Silva; Lukas Valenzuela
		17:20 – 17:40	Project 17. Sharp-wave ripples analysis	David Leonard Ortiz; Emilio Recart Zapata; Ana Paula da Silva Koltun
		17:40 – 18:00	Project 18. Reproducing Vogels et al. (2011): inhibitory plasticity and E/I balance in NEST	Túlio Almeida; Marisol Hernández-Sánchez; Aila Camara
		18:00 – 18:10	Interval
		18:10 – 18:30	Project 19. Modeling brain dynamics in primary dysmenorrhea using The Virtual Brain: a pipeline for parameter identification	Cintia Ricaele Ferreira da Silva; Natalia Suárez Bell; Pedro Artur Fernandes Varela de Lira
		18:30 – 18:50	Project 20. Inferring neuronal model parameters from estimated phase response curves using simulation-based inference	Nicolás Waehner; Octavio T. Puebla Pérez; Marcos M. Meo
		18:50 – 19:10	Project 21. Testing NMDA-dependent synaptic plasticity with spike trains using Brian 2	Ana Rita Martins; Arelienne Santos; Rodrigo Cáceres
		19:10 – 19:30	Project 22. Parameter modulation in whole-brain DMF models in altered states of consciousness using fMRI data	Lautaro Mundel; Pau García Gulisano; Marcel Valério de Arruda
		19:30 – 19:45	Evaluation of the projects	A. Roque, lecturers and tutors
		19:45 – 20:15	Closing remarks	A. Roque
		21:00 –	Final party
Sat Jan 31		09:00 –	Return home