conceptual model Search Results


conceptual logic model  (DWK Life Sciences)
90
DWK Life Sciences conceptual logic model
Conceptual Logic Model, supplied by DWK Life Sciences, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/pmc03429341-319-6-16?v=DWK+Life+Sciences
Average 90 stars, based on 1 article reviews
conceptual logic model - by Bioz Stars, 2026-07
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conceptual model  (Stamm GmbH)
90
Stamm GmbH conceptual model
Conceptual Model, supplied by Stamm GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/10__6018_slash_eglobal__417261-143-16-13?v=Stamm+GmbH
Average 90 stars, based on 1 article reviews
conceptual model - by Bioz Stars, 2026-07
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narratives or conceptual models of post-disturbance rivers  (RATHBURN CHEMICALS LIMITED)
90
RATHBURN CHEMICALS LIMITED narratives or conceptual models of post-disturbance rivers
Narratives Or Conceptual Models Of Post Disturbance Rivers, supplied by RATHBURN CHEMICALS LIMITED, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/10__1029_slash_2020JF006013-39-6-27?v=RATHBURN+CHEMICALS+LIMITED
Average 90 stars, based on 1 article reviews
narratives or conceptual models of post-disturbance rivers - by Bioz Stars, 2026-07
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conceptual model for understanding post-acute care referral following tbi  (TILSE FORMGLAS)
90
TILSE FORMGLAS conceptual model for understanding post-acute care referral following tbi
Conceptual Model For Understanding Post Acute Care Referral Following Tbi, supplied by TILSE FORMGLAS, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/pm32551986-194-15-2?v=TILSE+FORMGLAS
Average 90 stars, based on 1 article reviews
conceptual model for understanding post-acute care referral following tbi - by Bioz Stars, 2026-07
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isotope based conceptual model  (SAURER Inc)
90
SAURER Inc isotope based conceptual model
Isotope Based Conceptual Model, supplied by SAURER Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/ppr0363519-331-31-22?v=SAURER+Inc
Average 90 stars, based on 1 article reviews
isotope based conceptual model - by Bioz Stars, 2026-07
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acnp/md model  (Johns Hopkins HealthCare)
90
Johns Hopkins HealthCare acnp/md model
Acnp/Md Model, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/10__1007_slash_s12028___007___9013___3-892-16-8?v=Johns+Hopkins+HealthCare
Average 90 stars, based on 1 article reviews
acnp/md model - by Bioz Stars, 2026-07
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conceptual model  (Brehm GmbH)
90
Brehm GmbH conceptual model
Conceptual Model, supplied by Brehm GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/pm14986837-105-16-28?v=Brehm+GmbH
Average 90 stars, based on 1 article reviews
conceptual model - by Bioz Stars, 2026-07
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conceptual model of post-acute care referral after traumatic brain injury  (TILSE FORMGLAS)
90
TILSE FORMGLAS conceptual model of post-acute care referral after traumatic brain injury
Conceptual Model Of Post Acute Care Referral After Traumatic Brain Injury, supplied by TILSE FORMGLAS, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/pm27654022-80-15-5?v=TILSE+FORMGLAS
Average 90 stars, based on 1 article reviews
conceptual model of post-acute care referral after traumatic brain injury - by Bioz Stars, 2026-07
90/100 stars
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conceptual model  (Kadmon Pharmaceuticals)
90
Kadmon Pharmaceuticals conceptual model
Conceptual Model, supplied by Kadmon Pharmaceuticals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/10__1111_slash_j__1365___2745__2006__01132__x-145-7-13?v=Kadmon+Pharmaceuticals
Average 90 stars, based on 1 article reviews
conceptual model - by Bioz Stars, 2026-07
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word2vec  (CH Instruments)
90
CH Instruments word2vec
Identification of VOTC regions showing Representational Change (RC) Note. Values = estimated marginal means ± SEM; asterisk = statistical significance; dot represents trend without statistical significance. HI-I = solved trials with high insight. Panel A. RC from pre to post solution: Multivoxel pattern similarity. Multivoxel patterns per ROI for each time point (pre- and post solution) are extracted and subsequently correlated. Pre= 0.5sec after stimulus presentation; post = during solution button press. Those Pre-Post Solution Similarity values (r) are subsequently estimated in a linear mixed model as a function of insight and ROI. Bar plots show change (Δ) in Multivoxel Pattern Similarity (MVPS) analysis. Change in MVPS = 1 minus the correlation between the post and pre solution multivoxel pattern in the respective ROI. Panel B. RC from pre to post solution: Representational strength - AlexNet. This RSA method employs four steps. ( B1 ) A brain activation pattern matrix (APM, size 120×120) is generated for each region-of-interest (ROI) and each time point (pre- post solution, see Panel A) where each cell is representing a multivoxel pattern similarity value for each Mooney image pair. ( B2 ) A conceptual stimuli model (here using AlexNet, size 120×120) is generated where each cell is representing a similarity value for each Mooney object pair. ( B3 ) For each brain region and each time point, the row of each stimulus (∼120) in the stimuli model and in the APM are correlated yielding a representational strength measure (i.e. brain-model fit) per region and time point. ( B4 ) The representational strength is used as a dependent variable in linear mixed models to investigate which ROIs exhibit an insight-related increase in representational strength from pre- to post solution (time). Barplots show Representational Strength [Rep-Str] = “second order correlation” between multivoxel patterns in respective ROI at pre and post response time point and conceptual stimuli models (AlexNet and <t>Word2Vec</t> [W2V]).
Word2vec, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/bio_rxiv__2023__06__13__544774-137-7-23?v=CH+Instruments
Average 90 stars, based on 1 article reviews
word2vec - by Bioz Stars, 2026-07
90/100 stars
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conceptual model of the value system  (Matos labs)
90
Matos labs conceptual model of the value system
Identification of VOTC regions showing Representational Change (RC) Note. Values = estimated marginal means ± SEM; asterisk = statistical significance; dot represents trend without statistical significance. HI-I = solved trials with high insight. Panel A. RC from pre to post solution: Multivoxel pattern similarity. Multivoxel patterns per ROI for each time point (pre- and post solution) are extracted and subsequently correlated. Pre= 0.5sec after stimulus presentation; post = during solution button press. Those Pre-Post Solution Similarity values (r) are subsequently estimated in a linear mixed model as a function of insight and ROI. Bar plots show change (Δ) in Multivoxel Pattern Similarity (MVPS) analysis. Change in MVPS = 1 minus the correlation between the post and pre solution multivoxel pattern in the respective ROI. Panel B. RC from pre to post solution: Representational strength - AlexNet. This RSA method employs four steps. ( B1 ) A brain activation pattern matrix (APM, size 120×120) is generated for each region-of-interest (ROI) and each time point (pre- post solution, see Panel A) where each cell is representing a multivoxel pattern similarity value for each Mooney image pair. ( B2 ) A conceptual stimuli model (here using AlexNet, size 120×120) is generated where each cell is representing a similarity value for each Mooney object pair. ( B3 ) For each brain region and each time point, the row of each stimulus (∼120) in the stimuli model and in the APM are correlated yielding a representational strength measure (i.e. brain-model fit) per region and time point. ( B4 ) The representational strength is used as a dependent variable in linear mixed models to investigate which ROIs exhibit an insight-related increase in representational strength from pre- to post solution (time). Barplots show Representational Strength [Rep-Str] = “second order correlation” between multivoxel patterns in respective ROI at pre and post response time point and conceptual stimuli models (AlexNet and <t>Word2Vec</t> [W2V]).
Conceptual Model Of The Value System, supplied by Matos labs, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/10__1080_slash_09537280903441930-39-20-28?v=Matos+labs
Average 90 stars, based on 1 article reviews
conceptual model of the value system - by Bioz Stars, 2026-07
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conceptual model  (Tsang MD Inc)
90
Tsang MD Inc conceptual model
Identification of VOTC regions showing Representational Change (RC) Note. Values = estimated marginal means ± SEM; asterisk = statistical significance; dot represents trend without statistical significance. HI-I = solved trials with high insight. Panel A. RC from pre to post solution: Multivoxel pattern similarity. Multivoxel patterns per ROI for each time point (pre- and post solution) are extracted and subsequently correlated. Pre= 0.5sec after stimulus presentation; post = during solution button press. Those Pre-Post Solution Similarity values (r) are subsequently estimated in a linear mixed model as a function of insight and ROI. Bar plots show change (Δ) in Multivoxel Pattern Similarity (MVPS) analysis. Change in MVPS = 1 minus the correlation between the post and pre solution multivoxel pattern in the respective ROI. Panel B. RC from pre to post solution: Representational strength - AlexNet. This RSA method employs four steps. ( B1 ) A brain activation pattern matrix (APM, size 120×120) is generated for each region-of-interest (ROI) and each time point (pre- post solution, see Panel A) where each cell is representing a multivoxel pattern similarity value for each Mooney image pair. ( B2 ) A conceptual stimuli model (here using AlexNet, size 120×120) is generated where each cell is representing a similarity value for each Mooney object pair. ( B3 ) For each brain region and each time point, the row of each stimulus (∼120) in the stimuli model and in the APM are correlated yielding a representational strength measure (i.e. brain-model fit) per region and time point. ( B4 ) The representational strength is used as a dependent variable in linear mixed models to investigate which ROIs exhibit an insight-related increase in representational strength from pre- to post solution (time). Barplots show Representational Strength [Rep-Str] = “second order correlation” between multivoxel patterns in respective ROI at pre and post response time point and conceptual stimuli models (AlexNet and <t>Word2Vec</t> [W2V]).
Conceptual Model, supplied by Tsang MD Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/conceptual+model/pmc12133652-101-9-19?v=Tsang+MD+Inc
Average 90 stars, based on 1 article reviews
conceptual model - by Bioz Stars, 2026-07
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Image Search Results


Identification of VOTC regions showing Representational Change (RC) Note. Values = estimated marginal means ± SEM; asterisk = statistical significance; dot represents trend without statistical significance. HI-I = solved trials with high insight. Panel A. RC from pre to post solution: Multivoxel pattern similarity. Multivoxel patterns per ROI for each time point (pre- and post solution) are extracted and subsequently correlated. Pre= 0.5sec after stimulus presentation; post = during solution button press. Those Pre-Post Solution Similarity values (r) are subsequently estimated in a linear mixed model as a function of insight and ROI. Bar plots show change (Δ) in Multivoxel Pattern Similarity (MVPS) analysis. Change in MVPS = 1 minus the correlation between the post and pre solution multivoxel pattern in the respective ROI. Panel B. RC from pre to post solution: Representational strength - AlexNet. This RSA method employs four steps. ( B1 ) A brain activation pattern matrix (APM, size 120×120) is generated for each region-of-interest (ROI) and each time point (pre- post solution, see Panel A) where each cell is representing a multivoxel pattern similarity value for each Mooney image pair. ( B2 ) A conceptual stimuli model (here using AlexNet, size 120×120) is generated where each cell is representing a similarity value for each Mooney object pair. ( B3 ) For each brain region and each time point, the row of each stimulus (∼120) in the stimuli model and in the APM are correlated yielding a representational strength measure (i.e. brain-model fit) per region and time point. ( B4 ) The representational strength is used as a dependent variable in linear mixed models to investigate which ROIs exhibit an insight-related increase in representational strength from pre- to post solution (time). Barplots show Representational Strength [Rep-Str] = “second order correlation” between multivoxel patterns in respective ROI at pre and post response time point and conceptual stimuli models (AlexNet and Word2Vec [W2V]).

Journal: bioRxiv

Article Title: Creativity and memory: Cortical representational change along with amygdala activation predict the insight memory effect

doi: 10.1101/2023.06.13.544774

Figure Lengend Snippet: Identification of VOTC regions showing Representational Change (RC) Note. Values = estimated marginal means ± SEM; asterisk = statistical significance; dot represents trend without statistical significance. HI-I = solved trials with high insight. Panel A. RC from pre to post solution: Multivoxel pattern similarity. Multivoxel patterns per ROI for each time point (pre- and post solution) are extracted and subsequently correlated. Pre= 0.5sec after stimulus presentation; post = during solution button press. Those Pre-Post Solution Similarity values (r) are subsequently estimated in a linear mixed model as a function of insight and ROI. Bar plots show change (Δ) in Multivoxel Pattern Similarity (MVPS) analysis. Change in MVPS = 1 minus the correlation between the post and pre solution multivoxel pattern in the respective ROI. Panel B. RC from pre to post solution: Representational strength - AlexNet. This RSA method employs four steps. ( B1 ) A brain activation pattern matrix (APM, size 120×120) is generated for each region-of-interest (ROI) and each time point (pre- post solution, see Panel A) where each cell is representing a multivoxel pattern similarity value for each Mooney image pair. ( B2 ) A conceptual stimuli model (here using AlexNet, size 120×120) is generated where each cell is representing a similarity value for each Mooney object pair. ( B3 ) For each brain region and each time point, the row of each stimulus (∼120) in the stimuli model and in the APM are correlated yielding a representational strength measure (i.e. brain-model fit) per region and time point. ( B4 ) The representational strength is used as a dependent variable in linear mixed models to investigate which ROIs exhibit an insight-related increase in representational strength from pre- to post solution (time). Barplots show Representational Strength [Rep-Str] = “second order correlation” between multivoxel patterns in respective ROI at pre and post response time point and conceptual stimuli models (AlexNet and Word2Vec [W2V]).

Article Snippet: Those results were replicated when using the Word2Vec instead of the AlexNet conceptual model: the linear trend of the insight-memory-factor was significant ( Chi 2 ( 2) = 12.39, p <.01) over both brain regions (pFusG, iLOC) suggesting that this linear trend is robust.

Techniques: Activation Assay, Generated

Insight memory factor predicts multivariate activity in VOTC, univariate activity in amygdala and Amygdala-VOTC functional connectivity. Note . Values represent estimated marginal means ± (between subject) SEM. Forgotten = subsequently forgotten trials; Rem_LO-I: subsequently remembered trials originally solved with low insight; Rem_HI-I = subsequently remembered trials originally solved with high insight. Panel A: change (Δ) in Multivoxel Pattern Similarity (MVPS). Change in MVPS = 1 minus the correlation between the post and pre solution multivoxel pattern in the respective ROI. Panel B: Representational strength of solution object (post solution) is measured via a conceptual model created out of the penultimate layer of AlexNet. Panel C: Representational strength is measured via a conceptual Word2Vec [W2V] model. Panel D: Amygdala mean activity at post solution divided by insight memory conditions. Panel E: Functional connectivity between Amygdala and VOTC. Values represent averaged correlation coefficients between left and right amygdala and left and right iLOC or pFusG.

Journal: bioRxiv

Article Title: Creativity and memory: Cortical representational change along with amygdala activation predict the insight memory effect

doi: 10.1101/2023.06.13.544774

Figure Lengend Snippet: Insight memory factor predicts multivariate activity in VOTC, univariate activity in amygdala and Amygdala-VOTC functional connectivity. Note . Values represent estimated marginal means ± (between subject) SEM. Forgotten = subsequently forgotten trials; Rem_LO-I: subsequently remembered trials originally solved with low insight; Rem_HI-I = subsequently remembered trials originally solved with high insight. Panel A: change (Δ) in Multivoxel Pattern Similarity (MVPS). Change in MVPS = 1 minus the correlation between the post and pre solution multivoxel pattern in the respective ROI. Panel B: Representational strength of solution object (post solution) is measured via a conceptual model created out of the penultimate layer of AlexNet. Panel C: Representational strength is measured via a conceptual Word2Vec [W2V] model. Panel D: Amygdala mean activity at post solution divided by insight memory conditions. Panel E: Functional connectivity between Amygdala and VOTC. Values represent averaged correlation coefficients between left and right amygdala and left and right iLOC or pFusG.

Article Snippet: Those results were replicated when using the Word2Vec instead of the AlexNet conceptual model: the linear trend of the insight-memory-factor was significant ( Chi 2 ( 2) = 12.39, p <.01) over both brain regions (pFusG, iLOC) suggesting that this linear trend is robust.

Techniques: Activity Assay, Functional Assay