Podcast introducing research on oscillation and intelligence. Please note that because this is created using AI, it may contain some errors.
Podcast Overview
Podcast introducing research on oscillation and intelligence. Please note that because this is created using AI, it may contain some errors.
Language
🇺🇲
Publishing Since
5/3/2026
1 verified contact email on file for OsciPod
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
June 22, 2026
How Watching Others Makes You Generous
<p>Can mice learn to share food just by watching a partner do it? A 2026 study in Nature Neuroscience shows that observer mice develop stable prosocial preferences after watching a demonstrator choose between selfish and sharing options — without any direct training. The hippocampal dorsal CA1 region was found to be essential for acquiring this socially transmitted learning, with distinct neural activity patterns during observation predicting whether a mouse would later act generously or selfishly. Optogenetic manipulation of the dorsal CA1 at the moment of witnessed sharing causally shifted future behavior, revealing that how the hippocampus responds while you watch determines whether you become more generous. Reference: La Greca et al. (2026) "Individual differences in prosocial learning are represented in the hippocampal dorsal CA1" Nature Neuroscience. https://doi.org/10.1038/s41593-026-02292-2</p>
June 18, 2026
How the Brain Learns to Let Go
<p>This study reveals the neural circuit by which the medial prefrontal cortex drives contingency degradation — the process of unlearning a cue-reward association that is no longer valid. A new computational model, the meta-reward prediction error model, shows that the brain accumulates prediction errors across multiple trials before updating behaviour, and a dedicated subpopulation of mPFC neurons encodes this running error signal. Using two-photon calcium imaging, single-cell holographic optogenetics, and fibre photometry, the authors demonstrate that mPFC neurons projecting to the ventral tegmental area are strongly enriched for this signal, that dopamine from VTA to mPFC provides the trial-by-trial error input, and that activating the mPFC-to-VTA pathway causally accelerates reversal learning. Reference: Hjort et al. (2026) "Prefrontal to ventral tegmental area dynamics drive contingency degradation" Nature. https://doi.org/10.1038/s41586-026-10443-5</p>
June 15, 2026
Ripples That Build Thought
<p>Hippocampal ripples — brief, high-frequency electrical bursts lasting under 200 milliseconds — do more than consolidate memories during sleep; they actively update the medial prefrontal cortex's relational code during live planning. Recording intracranial EEG simultaneously from the hippocampus and cortex of 28 epilepsy patients, the researchers showed that dorsomedial prefrontal activity encodes compositional, relational representations specifically in the moments after each ripple peak, while replay sequences in cortex are strongest during ripple periods and predict faster, more accurate inference. Reference: He et al. (2026) "Human hippocampal ripples coordinate planning sequences and compositional representations in neocortex" Nature Neuroscience. https://doi.org/10.1038/s41593-026-02291-3</p>
14 total episodes available
Deep-dive analytics for OsciPod
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is OsciPod?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.