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1 -== Download the early version of this [[WhitePaper PDF.>>attach:YRW_whitepaper (1).pdf]] ==
1 +== Download the [[WhitePaper PDF.>>attach:YRW_whitepaper (1).pdf]] ==
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3 3  ==== ====
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181 181  3.1.7 Challenges
182 182  
183 183  • Figure out how to connect the mental disorders withthe neurobiology underneath.
184 -• Find good measures of success for the effects of the new treatment that can be reproduced in a reliable and robust way.
184 +• Find good measures of success for the effects ofthe new treatment that can be reproduced in a reliable and robust way.
185 185  • Develop a strong community to support the implementation of such approaches into everyday treatment plans.
186 186  
187 187  3.1.8 Workflow
188 188  
189 -[[image:image-20240618162546-1.png]]
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191 191  (% style="text-align: center;" %)
192 192  **3.2 Workflow 2**
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260 260  
261 261  3.3.4 Vision
262 262  
263 -We want to build a biologically explainable model that can explain the human vision of shape perception. How do we perceive shapes, and on what factors is our perception of shapes based? The true mental model for understanding the environment, color, depth, shapes, etc. Is learning an essential factor in human visual shape perception? Additionally, we aim to integrate robotics into the artificial vision models to verify the reliability and expand the feature set and strength of the frameworks.
262 +We want to build a biologically explainable model that can explain the human vision of shape perception. How do we perceive shapes, and on what factors is our perception of shapes based? The true mental model for understanding the environment, colour, depth, shapes, etc. Is learning an essential factor in human visual shape perception? Additionally, we aim to integrate robotics into the artificial vision models to verify the reliability and expand the feature set and strength of the frameworks.
264 264  
265 265  3.3.5 Impact
266 266  
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