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Brain Space Time Podcast
Akseli Ilmanen
10 episodes
6 days ago
Neuroscience is full of open questions. The most fundamental come down to space and time. What can place cells, grid cells and cognitive maps tell us about the evolutionary history from spatial navigation to abstract cognition? Do temporal dynamics between neural oscillations of different frequencies explain how information is structured in the brain? And are there species differences in how time is perceived? To find answers, or at least better questions, I am interviewing researchers in neuroscience, philosophy and physics. Twitter: https://twitter.com/akseli_ilmanen
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Life Sciences
Science
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All content for Brain Space Time Podcast is the property of Akseli Ilmanen and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Neuroscience is full of open questions. The most fundamental come down to space and time. What can place cells, grid cells and cognitive maps tell us about the evolutionary history from spatial navigation to abstract cognition? Do temporal dynamics between neural oscillations of different frequencies explain how information is structured in the brain? And are there species differences in how time is perceived? To find answers, or at least better questions, I am interviewing researchers in neuroscience, philosophy and physics. Twitter: https://twitter.com/akseli_ilmanen
Show more...
Life Sciences
Science
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#1 Georg Northoff: Spatiotemporal neuroscience
Brain Space Time Podcast
2 hours 14 minutes 10 seconds
2 years ago
#1 Georg Northoff: Spatiotemporal neuroscience

In the first episode of the Brain Space Time Podcast, I talk to Georg Northoff, a neuroscientist, psychiatrist and philosopher based in Ottawa, Canada. Georg argues that the self and time are fundamental to how the brain constructs a model of the world. We start off with the role of spontaneous activity in the brain, including the role of the default mode network, although Georg might convince you that you shouldn't think of it as one of many networks but as a baseline. We also dig deep into philosophy, going back to Kant, Leibniz and even Heraclitus. Georg argues that we should drop the mind-body problem, and move to the world-brain problem instead. Central to the world-brain problem is the ability of our brain to match the temporal-spatial statistics of its environment, "aligning with the grove of the music"; as Georg would say. Here we get into physics territory by discussing this matching mechanism in terms of self-similarity, scale-free dynamics, and the differential effects of pink and white noise on the brain. Evolution is also a recurring theme, as we get into the types of self across species, long-distance navigation of whales or ask how the temporal statistics of neuronal activity are conserved across species despite them having varied ecological niches. A big part of the episode is on time perception and temporal scales, exploring how time perception is too slow for depressed patients or how our breathing and heart rate are reflected in neuronal and mental dynamics. Finally, Georg tells us about the benefits but also struggles of his interdisciplinary career trajectory.


Shownotes and mentioned figures available at:

https://akseliilmanen.wixsite.com/home/post/pod01


Timestamps:

(00:00) - Intro

(02:54) - How did you get interested in time and the self

(06:31) - Spontaneous activity as psychological baseline of the brain

(13:14) - Default mode network, cortical midline structures, and the self

(17:04) - Interoception, bodily self across species and mirror-self recognition

(25:21) - From mind-body to world-brain problem, dissolving philosophical concepts (i.e. Élan vital)

(38:25) - Why physicists get spatiotemporal neuroscience and working memory psychologists don't

(44:28) - The brain matches the spatiotemporal statistics of its world

(54:05) - Scale-free dynamics and the neural response to white/pink noise in conscious/unconscious states

(01:01:25) - Neuronal rhythms across species (Buzaski), temporal receptive windows (Hasson)

(01:17:35) - Time perception & time scales in heart rate and breathing

(01:27:49) - Time perception impairment in depression and mania

(01:31:51) - Time perception & time scales - how to manipulate/disentangle them

(01:37:20) - Difference based coding - bigger than predictive coding?

(01:43:05) - Interdisciplinary career trajectory - benefits & challenges

(01:56:25) - Advice for computational neuroscientists

(02:01:04) - Where is spatiotemporal neurosciences in 10 years & what are the challenges



Links/Books/Papers


Georg Northoff website

Book: Neurowaves - Brain, Time and Consciousness (2023) URL

Book: The Spontaneous Brain (2018) URL

Textbook: From Brain Dynamics to the Mind: Spatiotemporal neuroscience (2023 - pre-order) URL

Self and cortical midline structures (2004) paper

Heart, lung, and brain - Josh Goheen (2023) paper

Brain and intrinsic neural timescales paper with Mehrshad Golesorkhi (2023) paper

Spatiotemporal neuroscience as 'common currency' (2020) paper

Why Spatiotemporal neuroscience (2020) paper

Are object relations temporal? (2022) paper

Leibniz and dynamic time (2019) paper

Marcus Raichle- default mode network 2001 paper, 2015 paper

Gyuri Buzaski (2013) - neuronal rhythms across species paper

Uri Hasson (2015) - temporal receptive windows paper


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If you are interested in my other work, click here.


Music license

Song: Space News (URL)

Item License Code: Z62T4V3QWL

Brain Space Time Podcast
Neuroscience is full of open questions. The most fundamental come down to space and time. What can place cells, grid cells and cognitive maps tell us about the evolutionary history from spatial navigation to abstract cognition? Do temporal dynamics between neural oscillations of different frequencies explain how information is structured in the brain? And are there species differences in how time is perceived? To find answers, or at least better questions, I am interviewing researchers in neuroscience, philosophy and physics. Twitter: https://twitter.com/akseli_ilmanen