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All Episodes

Brain Inspired — 157 episodes

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Title
1

BI 242 Kathryn Nave: How Life Gets its Meaning and Intelligence

2

BI 241 Johannes Jaeger: Agency and the Cyborg Myth

3

BI 240 Cristopher Moore: Cognition and Computational Complexity

4

BI 239 Nedah Nemati: Naturalistic Neuroscience and Lived Experience

5

BI 238 James Harrison: Hypnosis as Mental Foraging

6

BI 237 Ehud Ahissar: Consciousness and Perceptual Dualism

7

BI 236 Liset de la Prida: Neurons, Ripples, and Manifolds

8

BI 235 Romain Brette: The Brain, in Theory

9

BI 234 Juan Gallego: The Neural Manifold Manifesto

10

BI 233 Tom Griffiths: The Laws of Thought

11

BI 232 How Should Neuroscience Integrate with Ecological Psychology?

12

BI 231 Jaan Aru: Conscious AI? Not Even Close!

13

BI 230 Michael Shadlen: How Thoughts Become Conscious

14

BI 229 Tomaso Poggio: Principles of Intelligence and Learning

15

BI 228 Alex Maier: Laws of Consciousness

16

BI 227 Decoding Memories: Aspirational Neuroscience 2025

17

BI 226 Tatiana Engel: The High and Low Dimensional Brain

18

BI 225 Henk De Regt: Understanding in Machines and Humans

19

BI 224 Dan Nicholson: Schrödinger’s What is Life? Revisited

20

BI 223 Vicente Raja: Ecological Psychology Motifs in Neuroscience

21

BI 222 Nikolay Kukushkin: Minds and Meaning from Nature’s Ideas

22

BI 221 Ann Kennedy: Theory Beneath the Cortical Surface

23

BI 220 Michael Breakspear and Mac Shine: Dynamic Systems from Neurons to Brains

24

BI 219 Xaq Pitkow: Principles and Constraints of Cognition

25

BI 218 Chris Rozell: Brain Stimulation and AI for Mental Disorders

26

BI 217 Jennifer Prendki: Consciousness, Life, AI, and Quantum Physics

27

BI 216 Woodrow Shew and Keith Hengen: The Nature of Brain Criticality

28

BI 215 Xiao-Jing Wang: Theoretical Neuroscience Comes of Age

29

BI 214 Nicole Rust: How To Actually Fix Brains and Minds

30

BI 213 Representations in Minds and Brains

31

BI 212 John Beggs: Why Brains Seek the Edge of Chaos

32

BI 211 COGITATE: Testing Theories of Consciousness

33

BI 210 Dean Buonomano: Consciousness, Time, and Organotypic Dynamics

34

BI 209 Aran Nayebi: The NeuroAI Turing Test

35

BI 208 Gabriele Scheler: From Verbal Thought to Neuron Computation

36

BI 207 Alison Preston: Schemas in our Brains and Minds

37

Quick Announcement: Complexity Group

38

BI 206 Ciara Greene: Memories Are Useful, Not Accurate

39

BI 205 Dmitri Chklovskii: Neurons Are Smarter Than You Think

40

BI 204 David Robbe: Your Brain Doesn’t Measure Time

41

BI 203 David Krakauer: How To Think Like a Complexity Scientist

42

BI 202 Eli Sennesh: Divide-and-Conquer to Predict

43

BI 201 Rajesh Rao: From Predictive Coding to Brain Co-Processors

44

BI 200 Grace Hwang and Joe Monaco: The Future of NeuroAI

45

BI 199 Hessam Akhlaghpour: Natural Universal Computation

46

BI 198 Tony Zador: Neuroscience Principles to Improve AI

47

BI 197 Karen Adolph: How Babies Learn to Move and Think

48

BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød

49

BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød

50

BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting

51

BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI

52

BI 192 Àlex Gómez-Marín: The Edges of Consciousness

53

BI 191 Damian Kelty-Stephen: Fractal Turbulent Cascading Intelligence

54

BI 190 Luis Favela: The Ecological Brain

55

BI 189 Joshua Vogelstein: Connectomes and Prospective Learning

56

BI 188 Jolande Fooken: Coordinating Action and Perception

57

BI 187: COSYNE 2024 Neuro-AI Panel

58

BI 186 Mazviita Chirimuuta: The Brain Abstracted

59

BI 185 Eric Yttri: Orchestrating Behavior

60

BI 184 Peter Stratton: Synthesize Neural Principles

61

BI 183 Dan Goodman: Neural Reckoning

62

BI 182: John Krakauer Returns… Again

63

BI 181 Max Bennett: A Brief History of Intelligence

64

BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding

65

BI 179 Laura Gradowski: Include the Fringe with Pluralism

66

BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions

67

BI 177 Special: Bernstein Workshop Panel

68

BI 176 David Poeppel Returns

69

BI 175 Kevin Mitchell: Free Agents

70

BI 174 Alicia Juarrero: Context Changes Everything

71

BI 173 Justin Wood: Origins of Visual Intelligence

72

BI 172 David Glanzman: Memory All The Way Down

73

BI 171 Mike Frank: Early Language and Cognition

74

BI 170 Ali Mohebi: Starting a Research Lab

75

BI 169 Andrea Martin: Neural Dynamics and Language

76

BI 168 Frauke Sandig and Eric Black w Alex Gomez-Marin: AWARE: Glimpses of Consciousness

77

BI 167 Panayiota Poirazi: AI Brains Need Dendrites

78

BI 166 Nick Enfield: Language vs. Reality

79

BI 165 Jeffrey Bowers: Psychology Gets No Respect

80

BI 164 Gary Lupyan: How Language Affects Thought

81

BI 163 Ellie Pavlick: The Mind of a Language Model

82

BI 162 Earl K. Miller: Thoughts are an Emergent Property

83

BI 161 Hugo Spiers: Navigation and Spatial Cognition

84

BI 160 Ole Jensen: Rhythms of Cognition

85

BI 159 Chris Summerfield: Natural General Intelligence

86

BI 158 Paul Rosenbloom: Cognitive Architectures

87

BI 157 Sarah Robins: Philosophy of Memory

88

BI 156 Mariam Aly: Memory, Attention, and Perception

89

BI 155 Luiz Pessoa: The Entangled Brain

90

BI 154 Anne Collins: Learning with Working Memory

91

BI 153 Carolyn Dicey-Jennings: Attention and the Self

92

BI 152 Michael L. Anderson: After Phrenology: Neural Reuse

93

BI 151 Steve Byrnes: Brain-like AGI Safety

94

BI 150 Dan Nicholson: Machines, Organisms, Processes

95

BI 149 William B. Miller: Cell Intelligence

96

BI 148 Gaute Einevoll: Brain Simulations

97

BI 147 Noah Hutton: In Silico

98

BI 146 Lauren Ross: Causal and Non-Causal Explanation

99

BI 145 James Woodward: Causation with a Human Face

100

BI 144 Emily M. Bender and Ev Fedorenko: Large Language Models

101

BI 143 Rodolphe Sepulchre: Mixed Feedback Control

102

BI 142 Cameron Buckner: The New DoGMA

103

BI 141 Carina Curto: From Structure to Dynamics

104

BI 140 Jeff Schall: Decisions and Eye Movements

105

BI 139 Marc Howard: Compressed Time and Memory

106

BI 138 Matthew Larkum: The Dendrite Hypothesis

107

BI 137 Brian Butterworth: Can Fish Count?

108

BI 136 Michel Bitbol and Alex Gomez-Marin: Phenomenology

109

BI 135 Elena Galea: The Stars of the Brain

110

BI 134 Mandyam Srinivasan: Bee Flight and Cognition

111

BI 133 Ken Paller: Lucid Dreaming, Memory, and Sleep

112

BI 132 Ila Fiete: A Grid Scaffold for Memory

113

BI 131 Sri Ramaswamy and Jie Mei: Neuromodulation-aware DNNs

114

BI 130 Eve Marder: Modulation of Networks

115

BI 129 Patryk Laurent: Learning from the Real World

116

BI 128 Hakwan Lau: In Consciousness We Trust

117

BI 127 Tomás Ryan: Memory, Instinct, and Forgetting

118

BI 126 Randy Gallistel: Where Is the Engram?

119

BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys

120

BI 124 Peter Robin Hiesinger: The Self-Assembling Brain

121

BI 123 Irina Rish: Continual Learning

122

BI 122 Kohitij Kar: Visual Intelligence

123

BI 121 Mac Shine: Systems Neurobiology

124

BI 120 James Fitzgerald, Andrew Saxe, Weinan Sun: Optimizing Memories

125

BI 119 Henry Yin: The Crisis in Neuroscience

126

BI 118 Johannes Jäger: Beyond Networks

127

BI 117 Anil Seth: Being You

128

BI 116 Michael W. Cole: Empirical Neural Networks

129

BI 115 Steve Grossberg: Conscious Mind, Resonant Brain

130

BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind

131

BI 113 David Barack and John Krakauer: Two Views On Cognition

132

BI ViDA Panel Discussion: Deep RL and Dopamine

133

BI 112 Ali Mohebi and Ben Engelhard: The Many Faces of Dopamine

134

BI NMA 06: Advancing Neuro Deep Learning Panel

135

BI NMA 05: NLP and Generative Models Panel

136

BI NMA 04: Deep Learning Basics Panel

137

BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness

138

BI NMA 03: Stochastic Processes Panel

139

BI NMA 02: Dynamical Systems Panel

140

BI NMA 01: Machine Learning Panel

141

BI 110 Catherine Stinson and Jessica Thompson: Neuro-AI Explanation

142

BI 109 Mark Bickhard: Interactivism

143

BI 108 Grace Lindsay: Models of the Mind

144

BI 107 Steve Fleming: Know Thyself

145

BI 106 Jacqueline Gottlieb and Robert Wilson: Deep Curiosity

146

BI 105 Sanjeev Arora: Off the Convex Path

147

BI 104 John Kounios and David Rosen: Creativity, Expertise, Insight

148

BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading

149

BI 102 Mark Humphries: What Is It Like To Be A Spike?

150

BI 101 Steve Potter: Motivating Brains In and Out of Dishes

151

BI 100.6 Special: Do We Have the Right Vocabulary and Concepts?

152

BI 100.4 Special: What Ideas Are Holding Us Back?

153

BI 100.3 Special: Can We Scale Up to AGI with Current Tech?

154

BI 100.2 Special: What Are the Biggest Challenges and Disagreements?

155

BI 100.1 Special: What Has Improved Your Career or Well-being?

156

BI 099 Hakwan Lau and Steve Fleming: Neuro-AI Consciousness

157

BI 098 Brian Christian: The Alignment Problem