Mastodawn

Funded postdoctoral position in human intracranial neuroscience
University of Rochester

See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-rochester-27778-funded-postdoctoral-position-in-human-intracranial-neuroscience/

#behavioralneuroscience #biolinguistics #cognitiveneuroscience #psycholinguistics #systemsneuroscience #ScienceJob...
https://jobrxiv.org/job/university-of-rochester-27778-funded-postdoctoral-position-in-human-intracranial-neuroscience/?fsp_sid=4323

Funded postdoctoral position in human intracranial neuroscience

Post a job in 3min, or find thousands of job offers like this one at jobRxiv!

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Ross Gayler 22h ago

A lot of #MachineLearning and #PredictiveModelling in #statistics is based on minimisation of loss with respect to a training data set. This assumes that the training data set as a whole is representative of potential training sets. Consequently, this implies that loss minimisation is not an appropriate approach (or way of conceptualising the problem) in problems where the training data sets are not representative of the potential testing sets. (As a working title, let's call this issue "radical nonstationarity".)

I recently read Javed & Sutton 2024 "The Big World Hypothesis and its Ramifications for Artificial Intelligence" (https://web.archive.org/web/20250203053026/https://openreview.net/forum?id=Sv7DazuCn8) and think it describes a superset of this issue of radical nonstationarity. I strongly recommend this paper for motivating why loss minimisation with respect to a training data set might not always be appropriate.

Imagine an intelligent agent existing over time in a "big world" environment. Each observation records information about a single interaction of the agent with it's environment, and this observation only records the locally observable part of the environment. The agent may be moving between locations in the environment that are radically different with respect to the predictive relationships that exist and the variables that are predictive of the outcome of interest may vary between observations. Nonetheless, there is some predictive information that an intelligent agent could exploit. The case where everything is totally random and unpredictable is of no interest when the focus of research is an intelligent agent. In such a world minimising loss with respect to the history of all observations seen by the agent or even a sliding window of recent history seems irrelevant to the point of obtuseness.

One possible approach to this issue might be for the agent to determine, on a per-observation basis, the subset of past observations that are most relevant to making a prediction for the current observation. Then loss minimisation might play some role in determining or using that subset. However, that use of a dynamically determined training set is not the same thing as loss minimisation with respect to a statically given training set.

I am trying to find pointers to scholarly literature that discusses this issue (i.e. situations where minimisation of loss with respect to some "fixed" training set). My problem is that I am struggling to come up with search terms to find them. So:

* Please suggest search terms that might help me find this literature
* Please provide pointers to relevant papers

#PhilosophyOfStatistics #PhilosophyOfMachineLearning #CognitiveRobotics #MathematicalPsychology #MathPsych #CognitiveScience #CogSci #CognitiveNeuroscience #nonstationarity #LossMinimisation

The Big World Hypothesis and its Ramifications for Artificial...

The big world hypothesis says that for many learning problems, the world is multiple orders of magnitude larger than the agent. The agent neither fully perceives the state of the world nor can it...

OpenReview

Philo Sophies 3d ago

🌱 The emergence of the #self – #mind & #body united 🧠 🙋‍‍

What if our self arises from the living #organism and not from the separation of mind & body? 🤯

Thomas Fuchs shows how #embodiment, #consciousness & AI shape our sense of self.

🎥 https://youtu.be/1ouxs6P3Enc

📎https://philosophies.de/index.php/2022/11/20/das-verkoerperte-bewusstsein/

#Zoomposium #ThomasFuchs #phenomenology #cognitiveneuroscience #hardproblemofconsciousness #enactivism #neuroconstructivism #AI #machine consciousness #digitalization

jobRxiv 5d ago

Fully Financed PhD positions in Germany
Max Planck School of Cognition

The Max Planck School of Cognition offers an international four-year doctoral program.

See the full job description on jobRxiv: https://jobrxiv.org/job/max-planck-school-of-cognition-27778-fully-financed-phd-positions-in-germany/

#aimachinelearning #cognitiveneuroscience #Cognitivepsychology #genetics #lin...
https://jobrxiv.org/job/max-planck-school-of-cognition-27778-fully-financed-phd-positions-in-germany/?fsp_sid=4078

Fully Financed PhD positions in Germany

Post a job in 3min, or find thousands of job offers like this one at jobRxiv!

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Philo Sophies Oct 6

🙋‍‍ What distinguishes the body from the self ✨ ?

While the body can be measured objectively, the self represents the subjective experience of our existence.

In conversation with Thomas Fuchs about embodiment, consciousness, and AI.

📽 Interview: https://youtu.be/1ouxs6P3Enc

📎 Information: https://philosophies.de/index.php/2022/11/20/das-verkoerperte-bewusstsein/

#ThomasFuchs #Zoomposium #Phenomenology #Body #Consciousness #Embodiment #PhilosophyOfMind #CognitiveNeuroscience #AI #MachineConsciousness #Neuroconstructivism

Philo Sophies Oct 4

🌈 Farbe ist eine Illusion!

Atome haben keine Farbe – unser Gehirn erzeugt sie.

In unserem Zoomposium sprechen wir mit dem kürzlich verstorbenen Daniel C. Dennett über Bewusstsein, Qualia und darüber, warum Wahrnehmung eine Frage der Interpretation und nicht der direkten Realität ist.

📽 https://youtu.be/M2qiVz95ZYk

📎https://philosophies.de/index.php/2023/12/25/naturalistic-view/

#DanielDennett #ConsciousnessExplained #PhilosophyOfMind #Zoomposium #CognitiveScience #AGI #Qualia #CognitiveNeuroscience #ArtificialIntelligence #Embodiment

Philo Sophies Oct 4

🌈 Color is an illusion!

Atoms have no color—our brains create it.

In our Zoomposium, we talk with recently deceased Daniel C. Dennett about consciousness, qualia, and why perception is about interpretation, not direct reality.

📽 Interview: https://youtu.be/M2qiVz95ZYk

📎 Information: https://philosophies.de/index.php/2023/12/25/naturalistic-view/

#DanielDennett #ConsciousnessExplained #PhilosophyOfMind #Zoomposium #CognitiveScience #AGI #Qualia #CognitiveNeuroscience #ArtificialIntelligence #Embodiment #Functionalism #RealPatterns

Philo Sophies Sep 24

Zoomposium with Sascha Benjamin Fink: From the brain to the mind and back again – In search of the neural correlate

How does consciousness arise? And how can neural structures explain our experience?

Dr. Sascha Benjamin Fink from the FAU Center for Philosophy & AI Research talks about the “hard problem,” new approaches to neural correlates of consciousness (NCC2.0), and how technologies such as AI and virtual reality could change our perception of reality.

Immerse yourself in the exciting intersection of philosophy, neuroscience, and artificial intelligence!

Hear more 👂 and see more 👁 at: https://open.spotify.com/episode/1SJ0oItHKlk7mOVLupxMjX?si=VcExGicATuya1H_-aaLZ9A

or: https://philosophies.de/index.php/2025/06/22/korrelat-des-bewusstseins/

#Consciousness #Neurophilosophy #AI #VirtualReality #NCC #PhilosophyOfMind #CognitiveNeuroscience #ArtificialConsciousness #Zoomposium #SaschaBenjaminFink

Lexmilian S. R. B. de Mello Sep 22

✨ Rediscovering an Old Friend: @SigmundBOT ✨

[ https://mastodon.social/@SigmundBOT ]

Long before today’s flood of AI chatter, I launched @SigmundBOT
as a playful experiment—a space where ideas about artificial intelligence, digital philosophy, and curious code could roam free.

Now I’m breathing new life into it.

I’m constantly exploring emerging technologies for fun—tinkering with AI models, decentralised networks, privacy tools, and the occasional off-beat gadget. If you love discovering the next breakthrough before it trends, let’s connect.

Follow @SigmundBOT for thoughtful snippets, experimental bots, and the occasional wild psychology related concept. Tech aficionados, this is your invitation to build rapport, swap insights, and push boundaries together. 🚀 'And' fellow counsellors, psychiatrists, or psychologists... Make sure you make @SigmundBOT your friend. 🙂

Come say hi, share what you’re building, or just watch the experiments unfold.

🧠 Core Psychology & Research
#Psychology #CognitiveScience #Neuroscience #BehavioralScience #CognitivePsychology #SocialPsychology #Neuropsychology #ExperimentalPsychology #ResearchPsychology #BrainResearch #MindAndBrain #ConsciousnessStudies #PsychologicalScience #CognitiveNeuroscience #Neurobiology #PsychResearch