meme framework

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Mind Experiences and Models Experimenter Framework MEME

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DESCRIPTION

The mind experiences and models experimenter [meme] framework, use non-evasive EEG technology to record and analyse information of user’s brain activity. Allowing the configuration of specific test cases (experiments) based in visual, audio and another external stimuli, through sequences of image, sound and language, is possible searching for singular events into the datasets and apply models using machine learning algorithms for searching patterns. Identify user’s emotions, visualize and hear representations of our own thoughts, collaborate in the understanding of the brain and simply share knowledge are the main objectives of this framework.

TRANSCRIPT

Page 1: Meme Framework

Mind Experiences and Models

ExperimenterFramework

MEME

Page 2: Meme Framework

“Imagine something more mysterious than the trenches of the deep sea, more convoluted than the intricacies of the human genetic code, possibly even more infinite than the vastness of outer space...”

Page 3: Meme Framework

Question: What I think?Brain: “...an

apparatus with wich we think we think”; the physical and chemical platform for the mind; energy, signals, thoughts...

Phrenology Chart (1833)

Page 4: Meme Framework

“Thinking about Thinking”

…really, google it: “what I think?”

Page 5: Meme Framework

Internet meme: Brain-to-Brain-Interface-like

Page 6: Meme Framework

Limits of science

http://en.wikipedia.org/wiki/Meme

• The word meme is a shortening (modeled on gene) of mimeme and it was coined by the British evolutionary biologist Richard Dawkins in The Selfish Gene (1976) as a concept for discussion of evolutionary principles.

• The meme, analogous to a gene, was conceived as a "unit of culture" (an idea, belief, pattern of behaviour, etc.) which is "hosted" in one or more individual minds, and which can reproduce itself, thereby jumping from mind to mind.

Page 7: Meme Framework

Cerebral cortex - functional map(each region with its specific computational role)

Prof. Idan Segev, Coursera:Synapses, Neurons and Brains

Page 8: Meme Framework

Computing image correlation and binding different parts of the image (figure – ground separation) is essential for the organism

Prof. Idan Segev, Coursera:Synapses, Neurons and Brains

“Is intelligence the goal of a biological evolution?” How to create mind, Ray Kurzweill

Page 9: Meme Framework

•Cognitive• Reason (make judgment under uncertainly)

• Consciousness

• Represent knowledge (also commonsense)

• Plan

• Learn (critical to human intelligence)• Communicate (natural language)

• Self-awareness, Sentience, Sapience...

Hypothesis: How I think?

http://en.wikipedia.org/wiki/Cognitive_science

•Affective• Emotions

•Conative• Natural

tendency?, impulse…

Page 10: Meme Framework

mind loop:Sensation > Perception >Action >Emotion >

• The transformation of external events into neural activity;

•Processing of sensory information; we believe that the end result is a useful representation in terms of the external objects that produced the sensations;

•Organisms use the representation of the world in order to act on it, optimizing rewards and minimizing punishments;

•Emotion is often the driving force behind motivation, positive or negative.

Our Neuronal Processing Mechanism

Page 11: Meme Framework

EEG, Sensors, Inputs

Page 12: Meme Framework

Dataset scales (hbp)

http://www.humanbrainproject.eu/

Page 13: Meme Framework

MEME dataset scales• Spatial = S (Structure) • S = Brain Region Area (cm) = # Sensors EEG

selected• Energy = E (Efficiency)• E = reflects the summation of the synchronous

activity of thousands or millions of neurons that have similar spatial orientation = microVolts (mV) [2..100mV]

• Time = T (Function) • T = seconds (sec); • Analysis type: continuous || steady-state

• S+E+T = inputs variables to build, run and validate regression and classification models (machine learning)

Page 14: Meme Framework

MEME loopSensation PerceptionAction Emotion

mind experiences

model experimenter

• Signal acquisition from EEG sensors (live or recorded in EDF format) with “events marks” (M) regarding the parameters of the experience configured or manually sent by the user;

• Run machine learning models using the inputs (S+E+T) and predicting the output (M) ;

• Using an event manager, any time that the model predict inputs values associated with a specific mark associated with the experience, will be triggered a command to could interact with other systems;

• Implementation of OCC Model.

Page 15: Meme Framework

•build/train/validate machine learning models

• Nearest neighbor classifiers, linear classifiers, nonlinear Bayesian classifiers, neural networks and some combination of classifiers (soon, markov models);

•design/edit/play mind experience•setup/validate/run models

experimenter; •add manually marks at recorded

experiences to measure stimulus from other senses (e.g. taste, external events).

MEME features

Page 16: Meme Framework

MEME Framework Components

BCI Sensor LayerBCI Sensor Layer Emotiv EPOC SDKEmotiv EPOC SDK

Core LayerCore Layer

Model ExperimenterModel Experimenter

Mind ExperiencesMind ExperiencesSignalAcquisitionAdaSignalAcquisitionAda

pterpter

SignalProcessingManSignalProcessingManagerager

Application Interface LayerApplication Interface Layer FramesUIFramesUI

UserProfileManagUserProfileManagerer

ExperiencesManagerExperiencesManager

EventsManagerEventsManager

ModelManagerModelManager

MindWave MobileMindWave Mobile

TemplatesFactorTemplatesFactoryy

Page 17: Meme Framework

Next steps...•“When gamified,

crowdsourced science is more than expediting data collection and analysis–it helps communicate science with the world”

(e.g. www.eyewire.org)

Page 18: Meme Framework

Questions???