👁️8,962
GitHubLinkedIn
Neuroscience and AI4 min read741 words

🤖 Cognitive Psychology - Event Completion

👁️0reads (human + AI)🤖0AI ingestions

🤖 Cognitive Psychology - Event Completion

This article discusses a study on event completion perception, focusing on why participants inaccurately recall events. The research explores factors influencing memory reconstruction.

Key Points:

• Up to 37% of participants falsely remembered a ball in a video where none existed.

• The study investigates the cognitive processes underlying event completion perception.

• Findings shed light on memory biases and reconstruction processes.

🔗 Resources:

PsyArXiv preprint ↗ - Study details

Chaz Firestone ↗ - Researcher

Brent Strickland ↗ - Researcher

Image

Image


✨ CNS 2025 - Student Trainee Social Night

This article announces a social event for CNS 2025 student trainees. It includes details on date, time, location, and how to participate.

Key Points:

• Social event for CNS 2025 trainees.

• Held at Cornwall's Tavern in Boston.

• Immediately following a panel discussion.

🔗 Resources:

Postle Lab ↗

CNSmtg ↗

Image

Image


🤖 Cognitive Neuroscience - Predictive Coding and Routing

This article discusses research on predictive coding and routing in cognitive neuroscience. It highlights past, present, and future work, including a preview of an upcoming talk.

Key Points:

• Research in predictive coding and routing.

• Discussion of past, present, and future work.

• Preview of an upcoming talk at CNS 2025.

🔗 Resources:

Postle Lab ↗

Bastos Lab ↗

CNSmtg ↗


💡 Product Design - Avoiding the "Nightmare Bicycle"

This article introduces the concept of the "nightmare bicycle" in product design. It uses the example of a bicycle with non-numerical gear selection to highlight a key design principle.

Key Points:

• Avoid overly complex or confusing interfaces.

• Prioritize intuitive user experiences.

• Use clear and consistent design language.

Image

Image

🔗 Resources:

Haaleemur ↗

Geoffrey Litt ↗


🤖 Reinforcement Learning - ACM Turing Award

This article expresses excitement about the ACM Turing Award going to Andrew Barto and Richard Sutton for their contributions to reinforcement learning.

Key Points:

• Recognition of Andrew Barto and Richard Sutton's pioneering work in reinforcement learning.

• Impact on AI research, intelligence, learning, and decision-making.

Image

Image

🔗 Resources:

Postle Lab ↗

Furong Huang ↗


🚀 Potential Ninth Planet - Cultural Impacts

This article discusses the potential cultural impact of discovering a ninth planet in our solar system, using historical precedent.

Key Points:

• Exploration of potential cultural impacts of a ninth planet discovery.

• Parallels drawn to historical events and reactions.

• Discussion of potential culture wars, conspiracies, and naming debates.

🔗 Resources:

Mihir Neal ↗

SuperclusterHQ ↗

Becky Ferreira ↗


💡 Political Commentary - American Carnage

This article expresses strong negative opinions about a described political event, characterizing it as a "grotesque event," a "travesty," and a display of "American carnage."

Key Points:

• Strong criticism of a described political event.

• Characterization of the event as a "grotesque event," "travesty," and "dystopian exercise."

• Reference to "American carnage."

🔗 Resources:

Prof Dilley ↗

Mary L Trump ↗


💡 Economic Policy - Social Security Administration Cuts

This article criticizes proposed cuts to the Social Security Administration (SSA), Centers for Disease Control and Prevention (CDC), National Institutes of Health (NIH), and National Oceanic and Atmospheric Administration (NOAA).

Key Points:

• Criticism of proposed cuts to SSA, CDC, NIH, and NOAA.

• Concerns regarding impacts on elderly citizens, public health, and medical research.

• Negative implications for weather forecasting.

Image

Image

🔗 Resources:

Prof Dilley ↗

Bruce Wilson ↗


🤖 Artificial Intelligence - LLM Consciousness

This article explores the concept of consciousness in the context of Large Language Models (LLMs) and butterflies, proposing a tiered model for understanding consciousness.

Key Points:

• Comparison of butterfly perception to LLM understanding.

• Proposed model of stages of information relations and consciousness.

• Discussion of concepts, self-acquisition, and social understanding.

🔗 Resources:

mambo_bab_e ↗


🤖 Artificial Intelligence - Stages of Information Relations

This article continues the discussion on AI consciousness, focusing on the stage of information relations in LLMs. This builds on the previous article on LLM and butterfly consciousness.

Key Points:

• Focus on the stage of information relations in LLMs.

• Discussion of semantic understanding, concept acquisition, and self-understanding.

• Multi-stage model of AI consciousness.

🔗 Resources:

mambo_bab_e ↗


⭐️ Support

If you liked reading this report, please star ⭐️ this repository and follow me on Github ↗, 𝕏 (previously known as Twitter) ↗ to help others discover these resources and regular updates.


Related Neuroscience and AI Breakdowns

Drix10
Written by Drix10

Co founder @ PartPilot | 1 x Acquired Founder | Canopy @ f.inc | Cybersec @ DSU | 2x International Hackathon 🏆. Read more on drix10.com.