100 Scientists and Engineers

  1. Warren S. McCulloch & Walter Pitts – Pioneered artificial neural networks.
  2. Donald O. Hebb – Formulated Hebbian learning theory.
  3. Hubel & Wiesel – Explored visual processing and cortical organization.
  4. David H. Hubel & Torsten Wiesel – Nobel laureates for visual system research.
  5. Vernon Mountcastle – Described cortical column organization.
  6. Roger Sperry – Split-brain research, functional brain specialization.
  7. David Marr – Computational theories of vision and memory.
  8. Stephen W. Kuffler – Studied neural signaling and sensory processing.
  9. Christof Koch – Investigated consciousness and neural correlates.
  10. Francis Crick – DNA structure discovery and brain mechanisms.
  11. John von Neumann – Contributions to computer science and neuroscience.
  12. Gerald Edelman – Neural Darwinism and neuronal group selection.
  13. Terrence Sejnowski – Neural networks and computational neuroscience.
  14. Michael Merzenich – Neuroplasticity and brain rehabilitation.
  15. John Donoghue – Brain-machine interfaces and neural prosthetics.
  16. Theodore W. Berger – Hippocampal prosthetic devices.
  17. Richard Andersen – Sensorimotor transformations and BMIs.
  18. Miguel Nicolelis – Brain-machine interfaces and brain-to-brain communication.
  19. John O’Keefe – Discovered hippocampal place cells.
  20. May-Britt Moser & Edvard I. Moser – Nobel Prize for grid cell discovery.
  21. Larry Abbott – Theoretical neuroscience and neural coding.
  22. Randal Koene – Mind uploading and neural interfaces.
  23. Demis Hassabis – Co-founder of DeepMind, AI and neuroscience integration.
  24. Eric Kandel – Memory storage mechanisms and synaptic plasticity.
  25. Susan Hockfield – Neural tissue engineering and brain health.
  26. John Hopfield – Hopfield networks and associative memory.
  27. Michael Gazzaniga – Split-brain research and cognitive neuroscience.
  28. Christof von der Malsburg – Neuronal dynamics and self-organization.
  29. Geoffrey Hinton – Deep learning and neural network architectures.
  30. Leslie Valiant – Computational neuroscience and learning theory.
  31. Barbara Liskov – Programming languages for neural simulations.
  32. Karl Deisseroth – Optogenetics and neural circuit manipulation.
  33. Kwabena Boahen – Neuromorphic engineering and brain-inspired computing.
  34. Doyne Farmer – Complexity science and neural network dynamics.
  35. John Hopfield – Theoretical neuroscience and associative memory models.
  36. Rajesh Rao – Brain-computer interfaces and neurotechnology.
  37. Emery Brown – Anesthesia effects on brain dynamics.
  38. Partha Mitra – Neural circuits and brain mapping.
  39. Joseph LeDoux – Emotional processing and neural circuits.
  40. Wolfram Schultz – Reward systems and neural learning.
  41. Randy Gallistel – Learning theory and mathematical neuroscience.
  42. Jack Gallant – Brain mapping and computational neuroscience.
  43. Ed Boyden – Optogenetics and brain circuit manipulation.
  44. Tomaso Poggio – Computational vision and neural networks.
  45. Olaf Sporns – Network neuroscience and brain connectivity.
  46. Larry Squire – Memory systems and hippocampal function.
  47. David Eagleman – Neuroplasticity and sensory substitution.
  48. Nancy Kanwisher – Cognitive neuroscience and brain regions.
  49. John Krakauer – Motor learning and brain plasticity.
  50. Peter Dayan – Computational models of decision-making.
  51. Eric Lander – Genomics and brain disorders.
  52. John Maunsell – Visual system processing and attention.
  53. Christos Papadimitriou – Computational complexity and brain modeling.
  54. Patricia Churchland – Neurophilosophy and brain ethics.
  55. Rodney Douglas – Neuromorphic engineering and brain-inspired computing.
  56. Thomas Jessell – Neural development and circuit formation.
  57. Michael Shadlen – Decision-making and neural computations.
  58. John Hopfield – Associative memory and neural network dynamics.
  59. Demis Hassabis – Artificial intelligence and cognitive neuroscience.
  60. Nando de Freitas – Machine learning and neural network training.
  61. Gina Turrigiano – Synaptic plasticity and homeostasis.
  62. Edward Chang – Neural prosthetics and speech restoration.
  63. Sliman Bensmaia – Neuroengineering and sensory perception.
  64. Joshua Tenenbaum – Computational cognitive science and AI.
  65. Christopher Moore – Neural dynamics and oscillations.
  66. Michael Arbib – Mirror neurons and motor control.
  67. Emilio Bizzi – Motor learning and brain-machine interfaces.
  68. Miguel Alonso – Visual neuroscience and perception.
  69. Reid Harrison – Brain-computer interfaces and neuroethics.
  70. György Buzsáki – Neural oscillations and brain rhythms.
  71. Nicholas Hatsopoulos – Motor control and brain-machine interfaces.
  72. Eva Dyer – Machine learning and brain imaging.
  73. Tobi Delbruck – Neuromorphic engineering and event-based vision.
  74. Sheila Nirenberg – Retinal prosthetics and vision restoration.
  75. Jack Gallant – Brain decoding and neural information processing.
  76. Nikolaus Kriegeskorte – Neural representations and decoding models.
  77. Ray Dolan – Decision-making and computational psychiatry.
  78. Liane Young – Moral psychology and brain mechanisms.
  79. Takao Hensch – Critical periods in brain development.
  80. Christian Machens – Neural circuits and learning algorithms.
  81. Michael Graziano – Consciousness and attention mechanisms.
  82. John Chapin – Neural interfaces and brain-controlled devices.
  83. Yang Dan – Visual system function and neural circuits.
  84. Chris Eliasmith – Large-scale brain simulations and neural engineering.
  85. Ann Graybiel – Basal ganglia function and motor control.
  86. Timothy Behrens – Neural circuits and decision-making.
  87. Sheila Nirenberg – Retinal coding and artificial vision.
  88. Adam Gazzaley – Cognitive neuroscience and attention training.
  89. Haim Sompolinsky – Neural network dynamics and computation.
  90. Doris Tsao – Face perception and neural coding.
  91. Gregory Hickok – Neural mechanisms of language processing.
  92. Gary Marcus – Cognitive science and artificial intelligence.
  93. Tomaso Poggio – Neural network architectures and deep learning.
  94. Karl Deisseroth – Optogenetics and circuit manipulation.
  95. Jennifer Lippincott-Schwartz – Brain imaging and cellular dynamics.
  96. Ranulfo Romo – Sensory processing and decision-making.
  97. Alain Destexhe – Computational neuroscience and neural dynamics.
  98. Christof Koch – Consciousness studies and neural correlates.
  99. John Hopfield – Neural network theory and associative memory.
  100. Anthony Movshon – Visual neuroscience and neural coding.

This list spans various areas including theoretical neuroscience, computational modeling, brain-machine interfaces, neural prosthetics, neuroethics, and neurotechnology development.

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