| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Nkanyiso L Ndlovu, Wendy B Mdlalose, Bulelwa Ntsendwana, Thomas Moy. Evaluation of Advanced Nanomaterials for Cancer Diagnosis and Treatment. Pharmaceutics. vol 16. issue 4. 2024-04-27. PMID:38675134. |
either top-down or bottom-up strategies synthesize various types of nps. |
2024-04-27 |
2024-04-29 |
human |
| Agustina Aragón-Daud, Sofía Milagros Oberti De Luca, Sofía Schurmann Vignaga, Pilar Prado, Rosario Figueras, Lucia Lizaso, María Luz González-Gadea, Facundo Manes, Marcelo Cetkovich, Carla Pallavicini, Teresa Torralva, Laura Alethia de la Fuent. Attentional ERPs in consumers of smoked and insufflated cocaine associated with neuropsychological performance. Drug and alcohol dependence. vol 259. 2024-04-22. PMID:38648721. |
cocaine consumption is associated with reduced attentional event-related potentials (erps), namely p3a and p3b, indicating bottom-up and top-down deficits respectively. |
2024-04-22 |
2024-04-26 |
Not clear |
| Jens Kürten, Tilo Strobach, Lynn Huestegg. Controlling response order without relying on stimulus order - evidence for flexible representations of task order. Psychological research. 2024-04-13. PMID:38613570. |
task order is usually determined based on bottom-up information provided by stimulus presentation order, but also affected by top-down factors such as instructions and/or differentially dominant component tasks (e.g., oculomotor task prioritization). |
2024-04-13 |
2024-04-16 |
Not clear |
| Felix Waitzmann, Yue Kris Wu, Julijana Gjorgjiev. Top-down modulation in canonical cortical circuits with short-term plasticity. Proceedings of the National Academy of Sciences of the United States of America. vol 121. issue 16. 2024-04-09. PMID:38593083. |
one instance of such phenomena is response reversal, whereby sst neurons show opposite responses to top-down modulation via vip depending on the presence of bottom-up sensory input, indicating that the network may function in different regimes under different stimulation conditions. |
2024-04-09 |
2024-04-12 |
Not clear |
| Huiqin Wu, Lihong Peng, Dongyang Du, Hui Xu, Guoyu Lin, Zidong Zhou, Lijun Lu, Wenbing L. BAF-Net: bidirectional attention-aware fluid pyramid feature integrated multimodal fusion network for diagnosis and prognosis. Physics in medicine and biology. 2024-04-09. PMID:38593831. |
to go beyond the deficiencies of the three conventional multimodal fusion strategies (i.e., input-, feature- and output-level fusion), we propose a bidirectional attention-aware fluid pyramid feature integrated fusion network (baf-net) with cross-modal interactions for multimodal medical image diagnosis and prognosis.
approach: baf-net is composed of two identical branches to preserve the unimodal features and one bidirectional attention-aware distillation stream to progressively assimilate cross-modal complements and to learn supplementary features in both bottom-up and top-down processes. |
2024-04-09 |
2024-04-12 |
Not clear |
| Richard Veale, Mayu Takahash. Pathways for Naturalistic Looking Behavior in Primate II. Superior Colliculus Integrates Parallel Top-down and Bottom-up Inputs. Neuroscience. 2024-03-14. PMID:38484836. |
superior colliculus integrates parallel top-down and bottom-up inputs. |
2024-03-14 |
2024-03-17 |
Not clear |
| Richard Veale, Mayu Takahash. Pathways for Naturalistic Looking Behavior in Primate II. Superior Colliculus Integrates Parallel Top-down and Bottom-up Inputs. Neuroscience. 2024-03-14. PMID:38484836. |
this includes both bottom-up (world statistics) signals mediated by sensory cortex, association cortex, and subcortical structures, as well as top-down (goal and task) influences which arrive via either direct excitatory pathways from cerebral cortex, or via indirect basal ganglia relays resulting in inhibition or dis-inhibition as appropriate for alternative behaviors. |
2024-03-14 |
2024-03-17 |
Not clear |
| J Galván Fraile, Franz Scherr, José J Ramasco, Anton Arkhipov, Wolfgang Maass, Claudio R Mirass. Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations. PLoS computational biology. vol 20. issue 3. 2024-03-07. PMID:38452057. |
our findings share similarities with recent experimental studies focusing on the opposing influence of top-down and bottom-up inputs in the mouse primary visual cortex during visual flow perturbations. |
2024-03-07 |
2024-03-10 |
mouse |
| Yan-Feng Zhang, John N J Reynold. The Integration of Top-down and Bottom-up Inputs to the Striatal Cholinergic Interneurons. Current neuropharmacology. 2024-02-29. PMID:38420787. |
the integration of top-down and bottom-up inputs to the striatal cholinergic interneurons. |
2024-02-29 |
2024-03-02 |
Not clear |
| Yan-Feng Zhang, John N J Reynold. The Integration of Top-down and Bottom-up Inputs to the Striatal Cholinergic Interneurons. Current neuropharmacology. 2024-02-29. PMID:38420787. |
although chis receive extensive top-down inputs from the cortex and bottom-up inputs from the thalamus and midbrain, it is unclear which inputs are involved in the development of chi multiphasic activity. |
2024-02-29 |
2024-03-02 |
Not clear |
| Lauren Revie, Claudia Metzler-Baddele. Age-related fornix decline predicts conservative response strategy-based slowing in perceptual decision-making. Aging brain. vol 5. 2024-02-06. PMID:38318456. |
regression analyses identified brain regions involved in top-down (fornix, slf, acc, ppc) and bottom-up (ilf, optic radiation occ) processing as predictors for ddm parameters and rt. |
2024-02-06 |
2024-02-09 |
Not clear |
| Oris Shenyan, Matteo Lisi, John A Greenwood, Jeremy I Skipper, Tessa M Dekke. Visual hallucinations induced by Ganzflicker and Ganzfeld differ in frequency, complexity, and content. Scientific reports. vol 14. issue 1. 2024-01-29. PMID:38287084. |
here we leverage the differences in visual stimulation that these two techniques involve to investigate the role of bottom-up and top-down processes in shifting the complexity of visual hallucinations, and to assess whether these techniques involve a shared underlying hallucinatory mechanism despite their differences. |
2024-01-29 |
2024-02-01 |
Not clear |
| Shangqing Yuan, Jun Zhang, Tie Su. Exploring neural oscillations in numerical inductive reasoning: unveiling effects of top-down and bottom-up conflict. Frontiers in psychology. vol 14. 2024-01-26. PMID:38274687. |
these findings suggest that alpha desynchronization may indicate the integration of rules during top-down conflict, while theta synchronization may function as a mechanism to inhibit bottom-up perceptual interference in numerical inductive reasoning. |
2024-01-26 |
2024-01-28 |
human |
| Signe H Mårup, Boris A Kleber, Cecilie Møller, Peter Vuus. When direction matters: Neural correlates of interlimb coordination of rhythm and beat. Cortex; a journal devoted to the study of the nervous system and behavior. vol 172. 2024-01-19. PMID:38241757. |
going against the bodily hierarchy increased tapping errors significantly and also increased activity in key brain areas functionally associated with top-down sensorimotor control and bottom-up feedback processing, such as the cerebellum and sma. |
2024-01-19 |
2024-01-22 |
Not clear |
| Zedong Bi, Haoran Li, Liang Tia. Top-down generation of low-resolution representations improves visual perception and imagination. Neural networks : the official journal of the International Neural Network Society. vol 171. 2023-12-27. PMID:38150870. |
perception or imagination requires top-down signals from high-level cortex to primary visual cortex (v1) to reconstruct or simulate the representations bottom-up stimulated by the seen images. |
2023-12-27 |
2023-12-30 |
Not clear |
| Zedong Bi, Haoran Li, Liang Tia. Top-down generation of low-resolution representations improves visual perception and imagination. Neural networks : the official journal of the International Neural Network Society. vol 171. 2023-12-27. PMID:38150870. |
interestingly, top-down signals in v1 have lower spatial resolution than bottom-up representations. |
2023-12-27 |
2023-12-30 |
Not clear |
| Zongwei Jia, Zhichuan Wang, Chenyu Zhao, Ningning Zhang, Xinyue Wen, Zhiwei H. Pixel Self-Attention Guided Real-Time Instance Segmentation for Group Raised Pigs. Animals : an open access journal from MDPI. vol 13. issue 23. 2023-12-09. PMID:38066942. |
to enhance feature utilization and address limitations in the fusion process between bottom-up and top-down feature maps within the feature pyramid network (fpn) module of the yolact model, we propose a pixel self-attention (psa) module, incorporating joint channel and spatial attention. |
2023-12-09 |
2023-12-17 |
human |
| Chunli Chen, Yi Liang, Shiyun Xu, Chanlin Yi, Yuqin Li, Baodan Chen, Lei Yang, Qiang Liu, Dezhong Yao, Fali Li, Peng X. The dynamic causality brain network reflects whether the working memory is solidified. Cerebral cortex (New York, N.Y. : 1991). 2023-12-07. PMID:38061696. |
in our present study, given that correct responses and incorrect ones did not differ in either contralateral delay activity or alpha suppression, further rooting on the high-temporal-resolution eeg time-varying directed network analysis, we revealed that successful working memory depended on both much stronger top-down connections from the frontal to the temporal lobe and bottom-up linkages from the occipital to the temporal lobe, during the early maintenance period, as well as top-down flows from the frontal lobe to the central areas as the delay behavior approached. |
2023-12-07 |
2023-12-17 |
Not clear |
| Masahiro Kawatani, Kayo Horio, Mahito Ohkuma, Wan-Ru Li, Takayuki Yamashit. Interareal synaptic inputs underlying whisking-related activity in the primary somatosensory barrel cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2023-12-05. PMID:38050130. |
in the sensory cortex, thalamocortical bottom-up inputs and motor-sensory top-down inputs are thought to affect the dynamics of membrane potentials (v |
2023-12-05 |
2023-12-10 |
Not clear |
| Oliver Cameron, Joana F Neves, Eileen Gentlema. Listen to Your Gut: Key Concepts for Bioengineering Advanced Models of the Intestine. Advanced science (Weinheim, Baden-Wurttemberg, Germany). 2023-11-27. PMID:38009508. |
this review dissects the cellular and matrix components of the intestine and discusses strategies to replicate them in vitro using principles drawing from bottom-up biological self-organization and top-down bioengineering. |
2023-11-27 |
2023-11-29 |
human |